GradioApp_VisualGrounding_guided_Inpainting_StableDiffusion.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "lzCcqpq8ISEu",
        "KqeMyYkgmfRJ",
        "erj_PJc-d4f0"
      ],
      "machine_shape": "hm",
      "authorship_tag": "ABX9TyN9+k6rLk7sezVvc4WQfqhC",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard",
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "a41ce27be81f44d2975fd51a878902ae": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "VBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "VBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "VBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_210e2a11c22840f08b3fa5005b83bafa",
              "IPY_MODEL_346672c1da9146648ca69f8aef8bb0ee",
              "IPY_MODEL_843ae4acf9c8415fa1832e2f2f897f87",
              "IPY_MODEL_2cce67c83c8144df843f140ae9f70d41"
            ],
            "layout": "IPY_MODEL_146ab0a8162849eaa2fcccc731b8ffa3"
          }
        },
        "210e2a11c22840f08b3fa5005b83bafa": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a992f69226c942bd81195834db98469f",
            "placeholder": "​",
            "style": "IPY_MODEL_f5752285619243c1b4418b08dfcc97c2",
            "value": "<center> <img\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.svg\nalt='Hugging Face'> <br> Copy a token from <a\nhref=\"https://huggingface.co/settings/tokens\" target=\"_blank\">your Hugging Face\ntokens page</a> and paste it below. <br> Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file. </center>"
          }
        },
        "346672c1da9146648ca69f8aef8bb0ee": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "PasswordModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "PasswordModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "PasswordView",
            "continuous_update": true,
            "description": "Token:",
            "description_tooltip": null,
            "disabled": false,
            "layout": "IPY_MODEL_a4b92ac61d0f49b090426f300d4e8fa8",
            "placeholder": "​",
            "style": "IPY_MODEL_ef568927a99f495c9974f353f8acde3e",
            "value": ""
          }
        },
        "843ae4acf9c8415fa1832e2f2f897f87": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ButtonModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ButtonModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ButtonView",
            "button_style": "",
            "description": "Login",
            "disabled": false,
            "icon": "",
            "layout": "IPY_MODEL_a1cfc174d89f489194eba26bb622a628",
            "style": "IPY_MODEL_261a4c1284cc414082ff178697dd96e9",
            "tooltip": ""
          }
        },
        "2cce67c83c8144df843f140ae9f70d41": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c2a349a0dec846b990326ea2b5aeda76",
            "placeholder": "​",
            "style": "IPY_MODEL_4930a270eb7c40779b7daabe92cd6af9",
            "value": "\n<b>Pro Tip:</b> If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. </center>"
          }
        },
        "146ab0a8162849eaa2fcccc731b8ffa3": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": "center",
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": "flex",
            "flex": null,
            "flex_flow": "column",
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": "50%"
          }
        },
        "a992f69226c942bd81195834db98469f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f5752285619243c1b4418b08dfcc97c2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a4b92ac61d0f49b090426f300d4e8fa8": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ef568927a99f495c9974f353f8acde3e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a1cfc174d89f489194eba26bb622a628": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "261a4c1284cc414082ff178697dd96e9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ButtonStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ButtonStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "button_color": null,
            "font_weight": ""
          }
        },
        "c2a349a0dec846b990326ea2b5aeda76": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4930a270eb7c40779b7daabe92cd6af9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "956644f5239d44b48a10f5e42a4f8941": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_92ea3aacd7d940fbb4da4839016de454",
              "IPY_MODEL_92d0875220b04712bd6f4fa9cdeb8665",
              "IPY_MODEL_739c7dfcfdc7444f95c28076aaba69d4"
            ],
            "layout": "IPY_MODEL_112da941935247f684c58b6d396e8bd0"
          }
        },
        "92ea3aacd7d940fbb4da4839016de454": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ea4da12e90a44b66a67521b4c8a3307a",
            "placeholder": "​",
            "style": "IPY_MODEL_6998e145b0a64281840d0bc5036d043d",
            "value": "Downloading: 100%"
          }
        },
        "92d0875220b04712bd6f4fa9cdeb8665": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_6508cb0903ed4e458fde16d20ee71205",
            "max": 1338,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_6c7769290bb3460cb7120d80d7d882e7",
            "value": 1338
          }
        },
        "739c7dfcfdc7444f95c28076aaba69d4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_3bba9e8c7edf4261b2331e6a5f750798",
            "placeholder": "​",
            "style": "IPY_MODEL_fde681e5826f40e4beac6f2a861378fa",
            "value": " 1.34k/1.34k [00:00&lt;00:00, 38.2kB/s]"
          }
        },
        "112da941935247f684c58b6d396e8bd0": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ea4da12e90a44b66a67521b4c8a3307a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6998e145b0a64281840d0bc5036d043d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "6508cb0903ed4e458fde16d20ee71205": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6c7769290bb3460cb7120d80d7d882e7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "3bba9e8c7edf4261b2331e6a5f750798": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fde681e5826f40e4beac6f2a861378fa": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "123ad89e740b46caabe6279d34a6ca05": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_096b35c35b104a52a4b87a11ea36e4a8",
              "IPY_MODEL_d621a684a1284befa89d0d8b622a68ed",
              "IPY_MODEL_230844c0408249c9b47d01235b8cb7c8"
            ],
            "layout": "IPY_MODEL_fa0b8145fd9a4f7295a9b6b40ab747dd"
          }
        },
        "096b35c35b104a52a4b87a11ea36e4a8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4a2e54bad48a4d6babd20725ea61648e",
            "placeholder": "​",
            "style": "IPY_MODEL_bc5e63fa35c945ca96ea578b665b8bb4",
            "value": "Downloading: 100%"
          }
        },
        "d621a684a1284befa89d0d8b622a68ed": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_17b29bf7bba04b2c8cde643912d8eeb5",
            "max": 12506,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_ac49d9beef6944b3b1606cb2d16a93dc",
            "value": 12506
          }
        },
        "230844c0408249c9b47d01235b8cb7c8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_97c7b2a9716144c6b4f363683ddd14b2",
            "placeholder": "​",
            "style": "IPY_MODEL_78768bd90501452c897e291e3faacca7",
            "value": " 12.5k/12.5k [00:00&lt;00:00, 348kB/s]"
          }
        },
        "fa0b8145fd9a4f7295a9b6b40ab747dd": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4a2e54bad48a4d6babd20725ea61648e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "bc5e63fa35c945ca96ea578b665b8bb4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "17b29bf7bba04b2c8cde643912d8eeb5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ac49d9beef6944b3b1606cb2d16a93dc": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "97c7b2a9716144c6b4f363683ddd14b2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "78768bd90501452c897e291e3faacca7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "1f13b8c7812b415abd6b9716679ceefb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_16536a793176400588921a4acab040b9",
              "IPY_MODEL_c438aad488c24a4ca7b09450be5bc9b6",
              "IPY_MODEL_0201bddc5e37408694cc6d5c7578b98c"
            ],
            "layout": "IPY_MODEL_99ccdfb5b01748b1952aab791a1d71a7"
          }
        },
        "16536a793176400588921a4acab040b9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b94fa02637104f5593ff276fc603c55a",
            "placeholder": "​",
            "style": "IPY_MODEL_8c6cf777809e427c8cb0c1e4f0f1c1c4",
            "value": "Downloading: 100%"
          }
        },
        "c438aad488c24a4ca7b09450be5bc9b6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f34884aed3764c7097ff275d3b946b41",
            "max": 342,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_0c59e96d3a424e74be60964ce6b5cb30",
            "value": 342
          }
        },
        "0201bddc5e37408694cc6d5c7578b98c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_923dcf33adef4f38b7e590325e6a54c6",
            "placeholder": "​",
            "style": "IPY_MODEL_9ff4a8efddbc4a3a8692ee2305f93789",
            "value": " 342/342 [00:00&lt;00:00, 10.3kB/s]"
          }
        },
        "99ccdfb5b01748b1952aab791a1d71a7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b94fa02637104f5593ff276fc603c55a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8c6cf777809e427c8cb0c1e4f0f1c1c4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f34884aed3764c7097ff275d3b946b41": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0c59e96d3a424e74be60964ce6b5cb30": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "923dcf33adef4f38b7e590325e6a54c6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9ff4a8efddbc4a3a8692ee2305f93789": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "b52dec68ff114ef3ba28e57b587b9066": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_5e2f16c857b54a92ba1b1e1f36102dde",
              "IPY_MODEL_9a4fad646ee244f4ab3b14169f6ee174",
              "IPY_MODEL_813f1d25913946d9aadb22c0faee5394"
            ],
            "layout": "IPY_MODEL_c6409496496e4e619f27218b38bfa96b"
          }
        },
        "5e2f16c857b54a92ba1b1e1f36102dde": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_dc41633f473b464d93d5820bb676253f",
            "placeholder": "​",
            "style": "IPY_MODEL_28baab07f4174ecf93fdff049dc18355",
            "value": "Downloading: 100%"
          }
        },
        "9a4fad646ee244f4ab3b14169f6ee174": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_061b4c48fed64036b642fce7e2af33b0",
            "max": 543,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2976bf33df9d482ead24c3c2aabcb37c",
            "value": 543
          }
        },
        "813f1d25913946d9aadb22c0faee5394": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_9c670f807830489985c6016a427d4f00",
            "placeholder": "​",
            "style": "IPY_MODEL_cdcd4266113843308d9d1ae97f91cc0b",
            "value": " 543/543 [00:00&lt;00:00, 14.3kB/s]"
          }
        },
        "c6409496496e4e619f27218b38bfa96b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "dc41633f473b464d93d5820bb676253f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "28baab07f4174ecf93fdff049dc18355": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "061b4c48fed64036b642fce7e2af33b0": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2976bf33df9d482ead24c3c2aabcb37c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "9c670f807830489985c6016a427d4f00": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "cdcd4266113843308d9d1ae97f91cc0b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f2dcef01d69a4c97b67ee8d7cfeada67": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_ead210a999de4e22a702cb82c03a0e54",
              "IPY_MODEL_74b3abbd62d540cebd2d93b5ff5060c4",
              "IPY_MODEL_6c7c569786fd41e7a97be7f3fb028181"
            ],
            "layout": "IPY_MODEL_b713466ad95c498b90f887b5f285b4b6"
          }
        },
        "ead210a999de4e22a702cb82c03a0e54": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_61608dce0053499399167d8f2f593562",
            "placeholder": "​",
            "style": "IPY_MODEL_b9353542604f4d4c80d2c0d768ffd5e7",
            "value": "Downloading: 100%"
          }
        },
        "74b3abbd62d540cebd2d93b5ff5060c4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_bcafd49561d54cc7a77b7009d3f91c32",
            "max": 4628,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_7d1f7d3497484b5e8a53bcb71fd4991d",
            "value": 4628
          }
        },
        "6c7c569786fd41e7a97be7f3fb028181": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1a83270a5ff74a928d56dc1c20ec5ca4",
            "placeholder": "​",
            "style": "IPY_MODEL_7838fd02ba694fd1a4e3806462164579",
            "value": " 4.63k/4.63k [00:00&lt;00:00, 111kB/s]"
          }
        },
        "b713466ad95c498b90f887b5f285b4b6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "61608dce0053499399167d8f2f593562": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b9353542604f4d4c80d2c0d768ffd5e7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "bcafd49561d54cc7a77b7009d3f91c32": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7d1f7d3497484b5e8a53bcb71fd4991d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "1a83270a5ff74a928d56dc1c20ec5ca4": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7838fd02ba694fd1a4e3806462164579": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "5c2717e2f7f84a648f27def1c7f63a2b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_29e126da0b6442d4b1e1c0e6df0a0d62",
              "IPY_MODEL_72247b012cdf40efbb559f88fa1f437f",
              "IPY_MODEL_72cb7c8457aa46018db1227c8005c471"
            ],
            "layout": "IPY_MODEL_3cbad882e2de4664bf58cca94ee29b12"
          }
        },
        "29e126da0b6442d4b1e1c0e6df0a0d62": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a1554b5d374f4068a8624305af2560d2",
            "placeholder": "​",
            "style": "IPY_MODEL_c6ae1269868b46008c1d8b73a4dbd7d7",
            "value": "Downloading: 100%"
          }
        },
        "72247b012cdf40efbb559f88fa1f437f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_7cf315f57871446b85f869924002d9c2",
            "max": 608098599,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_ca59cd0508aa4279a04fff9cbc5e7bf1",
            "value": 608098599
          }
        },
        "72cb7c8457aa46018db1227c8005c471": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_70f1a16678c04c3eba40855a03bdce80",
            "placeholder": "​",
            "style": "IPY_MODEL_51dfb46ee0984c98811f90a85dbdef01",
            "value": " 608M/608M [00:16&lt;00:00, 41.2MB/s]"
          }
        },
        "3cbad882e2de4664bf58cca94ee29b12": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a1554b5d374f4068a8624305af2560d2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c6ae1269868b46008c1d8b73a4dbd7d7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "7cf315f57871446b85f869924002d9c2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ca59cd0508aa4279a04fff9cbc5e7bf1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "70f1a16678c04c3eba40855a03bdce80": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "51dfb46ee0984c98811f90a85dbdef01": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "2a98d1a08b924ef398fe82d96f29f6b9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_f1323ed470384d4dbb116dccc82628a9",
              "IPY_MODEL_4205bd3b19674752b6a2e371ce0300a2",
              "IPY_MODEL_6b5ae4066f3e4b39b139a3f9d91297b7"
            ],
            "layout": "IPY_MODEL_29a0edb1d54e4bbd9e2bcd00eac16e81"
          }
        },
        "f1323ed470384d4dbb116dccc82628a9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_3bb23b412c2e4319bb1d76889725ebf8",
            "placeholder": "​",
            "style": "IPY_MODEL_6279c0c5b35542e6a96adca6270bbe33",
            "value": "Downloading: 100%"
          }
        },
        "4205bd3b19674752b6a2e371ce0300a2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_74f988d317594c43ac0af5f3e27c1137",
            "max": 209,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_0cc45f979e3b416189bbbd051545fc70",
            "value": 209
          }
        },
        "6b5ae4066f3e4b39b139a3f9d91297b7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0500b482c05e4187a73f4e1cab2b8db5",
            "placeholder": "​",
            "style": "IPY_MODEL_2fd366bcf1c743949c3e5011d9ccf526",
            "value": " 209/209 [00:00&lt;00:00, 6.55kB/s]"
          }
        },
        "29a0edb1d54e4bbd9e2bcd00eac16e81": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3bb23b412c2e4319bb1d76889725ebf8": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6279c0c5b35542e6a96adca6270bbe33": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "74f988d317594c43ac0af5f3e27c1137": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0cc45f979e3b416189bbbd051545fc70": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "0500b482c05e4187a73f4e1cab2b8db5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2fd366bcf1c743949c3e5011d9ccf526": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "db47a206a3c24e18bdb6800bbf455028": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_6601b1719f7e4d6dac17e0553ae26dc3",
              "IPY_MODEL_785985f8e8424d859f9e13dc5faa7102",
              "IPY_MODEL_ad55c3a52b80400d8626e450d9c66fdf"
            ],
            "layout": "IPY_MODEL_47ba79a583f044bb8a4360de9ca5b726"
          }
        },
        "6601b1719f7e4d6dac17e0553ae26dc3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0a372bf22be848709275b453dadc90c0",
            "placeholder": "​",
            "style": "IPY_MODEL_75a8acd4ea914534a5d8b2839986af1f",
            "value": "Downloading: 100%"
          }
        },
        "785985f8e8424d859f9e13dc5faa7102": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_34d67b4d0db84e7ca9aeff8f09e21a38",
            "max": 209,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_bb5943006fce467d807bb4c099d1e481",
            "value": 209
          }
        },
        "ad55c3a52b80400d8626e450d9c66fdf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f8082dd587a34de4936c6859e5b55a46",
            "placeholder": "​",
            "style": "IPY_MODEL_e1e7bf0053084e5f9cc657735515180b",
            "value": " 209/209 [00:00&lt;00:00, 6.00kB/s]"
          }
        },
        "47ba79a583f044bb8a4360de9ca5b726": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0a372bf22be848709275b453dadc90c0": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "75a8acd4ea914534a5d8b2839986af1f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "34d67b4d0db84e7ca9aeff8f09e21a38": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "bb5943006fce467d807bb4c099d1e481": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "f8082dd587a34de4936c6859e5b55a46": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e1e7bf0053084e5f9cc657735515180b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "34f86b5f697c41f5b70a7a21c7fb8d93": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_2978b416a772411eb4a08b8166efa950",
              "IPY_MODEL_8fcb17da3c414c7591c5acbfadcae431",
              "IPY_MODEL_ecc9cba9cad241cb9bcfa71a2d8328ef"
            ],
            "layout": "IPY_MODEL_48a92c61cb7d4b4fbc29293b7d3c0cbc"
          }
        },
        "2978b416a772411eb4a08b8166efa950": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ffe83a870be1424dabc6e80afa0c1532",
            "placeholder": "​",
            "style": "IPY_MODEL_2c448f4c2225458aa45b3680a788f4e6",
            "value": "Downloading: 100%"
          }
        },
        "8fcb17da3c414c7591c5acbfadcae431": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e7edfe8aefa14363b4e09a5d1caeed61",
            "max": 572,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_eb42fdccedb54847ad3ef6729d3f2109",
            "value": 572
          }
        },
        "ecc9cba9cad241cb9bcfa71a2d8328ef": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1454bbafe9fb4aecbc2894c48ce7cb77",
            "placeholder": "​",
            "style": "IPY_MODEL_c90e11417d8f4184aa8afa761d1db095",
            "value": " 572/572 [00:00&lt;00:00, 16.5kB/s]"
          }
        },
        "48a92c61cb7d4b4fbc29293b7d3c0cbc": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ffe83a870be1424dabc6e80afa0c1532": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2c448f4c2225458aa45b3680a788f4e6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "e7edfe8aefa14363b4e09a5d1caeed61": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "eb42fdccedb54847ad3ef6729d3f2109": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "1454bbafe9fb4aecbc2894c48ce7cb77": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c90e11417d8f4184aa8afa761d1db095": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a19e2d3974614f3f905be907c7931e2e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_fa56463353cf42729f9099bc945017c5",
              "IPY_MODEL_2556ca33a0964f84a6f919a63dbb1c49",
              "IPY_MODEL_0f77e01fa24a461b8bbdb5fe6bec3865"
            ],
            "layout": "IPY_MODEL_c8f03fca8bae4b219a5712a98304eece"
          }
        },
        "fa56463353cf42729f9099bc945017c5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_6172b552a0ce4c5a8cd47611fcaf58f5",
            "placeholder": "​",
            "style": "IPY_MODEL_dc7286b1b9e84f9aa2fdf59e32db04a7",
            "value": "Downloading: 100%"
          }
        },
        "2556ca33a0964f84a6f919a63dbb1c49": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_bed50105dc66481d81ee1dc387c7442a",
            "max": 246184375,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_a6ee1b229c5348e181f7f620f0e01893",
            "value": 246184375
          }
        },
        "0f77e01fa24a461b8bbdb5fe6bec3865": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_fb4757d620b34d369e44e4ec827b1ffd",
            "placeholder": "​",
            "style": "IPY_MODEL_e912aa18674a426aacdd043707347543",
            "value": " 246M/246M [00:06&lt;00:00, 41.6MB/s]"
          }
        },
        "c8f03fca8bae4b219a5712a98304eece": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6172b552a0ce4c5a8cd47611fcaf58f5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "dc7286b1b9e84f9aa2fdf59e32db04a7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "bed50105dc66481d81ee1dc387c7442a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a6ee1b229c5348e181f7f620f0e01893": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "fb4757d620b34d369e44e4ec827b1ffd": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e912aa18674a426aacdd043707347543": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8b72dd8c43ba4433bb80b9ad298339cf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_21ea94bf2f264a0ca69303c545f60dea",
              "IPY_MODEL_137c8f5b8b1a499d80b37b2b6ac3fb96",
              "IPY_MODEL_2ac69a651b69442e9d2e03546627565f"
            ],
            "layout": "IPY_MODEL_e50ec51475b64b20aeeb20ccadb8c6a0"
          }
        },
        "21ea94bf2f264a0ca69303c545f60dea": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a9c00926848040efa76b42c5a9e9c656",
            "placeholder": "​",
            "style": "IPY_MODEL_b81e87ebf4aa4ef7b98f01464e5c5979",
            "value": "Downloading: 100%"
          }
        },
        "137c8f5b8b1a499d80b37b2b6ac3fb96": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_7280792eac764847b2b6b1e70f8f5d8d",
            "max": 524619,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_4e29dfad603640648648bba9172303f0",
            "value": 524619
          }
        },
        "2ac69a651b69442e9d2e03546627565f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_9f631f2ca7d249c78d2adb9179bd98e5",
            "placeholder": "​",
            "style": "IPY_MODEL_2422bba144d5445b9b5c3812459d3553",
            "value": " 525k/525k [00:00&lt;00:00, 2.40MB/s]"
          }
        },
        "e50ec51475b64b20aeeb20ccadb8c6a0": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a9c00926848040efa76b42c5a9e9c656": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b81e87ebf4aa4ef7b98f01464e5c5979": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "7280792eac764847b2b6b1e70f8f5d8d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4e29dfad603640648648bba9172303f0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "9f631f2ca7d249c78d2adb9179bd98e5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2422bba144d5445b9b5c3812459d3553": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "1dc4087a56844434937588aa89014ab5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_b1a30ecc29e94373a48ee09b65536bf1",
              "IPY_MODEL_87dbb23ea3a746f58cc3fb002ab0c49d",
              "IPY_MODEL_89794adcfc1248d58ba26139156b2693"
            ],
            "layout": "IPY_MODEL_a62a70ea1af3476881032b9b607d011e"
          }
        },
        "b1a30ecc29e94373a48ee09b65536bf1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_6945dae6d439416dbd12468515a82b74",
            "placeholder": "​",
            "style": "IPY_MODEL_10c065f059da43f984798fbebdb227b6",
            "value": "Downloading: 100%"
          }
        },
        "87dbb23ea3a746f58cc3fb002ab0c49d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_fc5adb3032094780a23c88ad4fb8d5af",
            "max": 472,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_eb636c7db8974fcd8b8cd7e806a4c5f7",
            "value": 472
          }
        },
        "89794adcfc1248d58ba26139156b2693": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_17966b0340044d668e86102ecfbc131e",
            "placeholder": "​",
            "style": "IPY_MODEL_eccf0ffa22274aec93d436bfc38a0eed",
            "value": " 472/472 [00:00&lt;00:00, 14.8kB/s]"
          }
        },
        "a62a70ea1af3476881032b9b607d011e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6945dae6d439416dbd12468515a82b74": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "10c065f059da43f984798fbebdb227b6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "fc5adb3032094780a23c88ad4fb8d5af": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "eb636c7db8974fcd8b8cd7e806a4c5f7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "17966b0340044d668e86102ecfbc131e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "eccf0ffa22274aec93d436bfc38a0eed": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "e78e24476c524a47bb0e869f5d771c5a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_3fbc4dc612284f5cb4d15d85540da02e",
              "IPY_MODEL_e0d0fac21e2a4fbdb327f56e1eeced8b",
              "IPY_MODEL_a158b8d7c8724153b8f73dc5adaefeb5"
            ],
            "layout": "IPY_MODEL_f6fe99cd5da144b985d7f11069995a65"
          }
        },
        "3fbc4dc612284f5cb4d15d85540da02e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_94fe32b6a1644dee994c2a0517e5c93c",
            "placeholder": "​",
            "style": "IPY_MODEL_89629b76bcc44c62b6f46aeed5e3aaa5",
            "value": "Downloading: 100%"
          }
        },
        "e0d0fac21e2a4fbdb327f56e1eeced8b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ec684d4bbb50439f984802a63b037a1d",
            "max": 788,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_cb8d8fa50ea94aba8d075daa28fa1622",
            "value": 788
          }
        },
        "a158b8d7c8724153b8f73dc5adaefeb5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a6169b24c39842df9371a252af2eadc6",
            "placeholder": "​",
            "style": "IPY_MODEL_504528fa1fc14ad18799182bc7ff5267",
            "value": " 788/788 [00:00&lt;00:00, 26.6kB/s]"
          }
        },
        "f6fe99cd5da144b985d7f11069995a65": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "94fe32b6a1644dee994c2a0517e5c93c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "89629b76bcc44c62b6f46aeed5e3aaa5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "ec684d4bbb50439f984802a63b037a1d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "cb8d8fa50ea94aba8d075daa28fa1622": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "a6169b24c39842df9371a252af2eadc6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "504528fa1fc14ad18799182bc7ff5267": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "ca03f96682974a50bac543ce0520d555": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_820c3d8cc6a441ecaec71050516c21b5",
              "IPY_MODEL_d8cc03c7cb384030a797c91cd2edcb98",
              "IPY_MODEL_9b7c9cce052d40849ba08d692ef5f4db"
            ],
            "layout": "IPY_MODEL_4dda828bedba48e5926ce88ae73d9dee"
          }
        },
        "820c3d8cc6a441ecaec71050516c21b5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_8238b6a9bfb445f8ba068f09d314c64b",
            "placeholder": "​",
            "style": "IPY_MODEL_7460a075624b451c8f6164897f6f067f",
            "value": "Downloading: 100%"
          }
        },
        "d8cc03c7cb384030a797c91cd2edcb98": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b195b915b9c647b5bdca641006262162",
            "max": 1059962,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_7a351597f8a84affbb62006799a12054",
            "value": 1059962
          }
        },
        "9b7c9cce052d40849ba08d692ef5f4db": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4b657935c35f40de8d65f759891c4e4c",
            "placeholder": "​",
            "style": "IPY_MODEL_33ce9519ccdc4ab09a4cbddc5e6eb857",
            "value": " 1.06M/1.06M [00:00&lt;00:00, 1.70MB/s]"
          }
        },
        "4dda828bedba48e5926ce88ae73d9dee": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8238b6a9bfb445f8ba068f09d314c64b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7460a075624b451c8f6164897f6f067f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "b195b915b9c647b5bdca641006262162": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7a351597f8a84affbb62006799a12054": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "4b657935c35f40de8d65f759891c4e4c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "33ce9519ccdc4ab09a4cbddc5e6eb857": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "80a167f492cf44f49a5452b2454adf5d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_ea3c552962c54dc7994396f85bd9ed9f",
              "IPY_MODEL_12e7bddaa8ec46a7bab3b9d2cf80b7ed",
              "IPY_MODEL_cb50067555b64c8a8c97a307934897a2"
            ],
            "layout": "IPY_MODEL_f69766ffbaff4dccad2d68329e885925"
          }
        },
        "ea3c552962c54dc7994396f85bd9ed9f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_343d3c8e08a64ecb995dfa466664f518",
            "placeholder": "​",
            "style": "IPY_MODEL_32128fd92a384c3b9db4053b6e92116c",
            "value": "Downloading: 100%"
          }
        },
        "12e7bddaa8ec46a7bab3b9d2cf80b7ed": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_bcd936a4daaf4328a969c251bae9a6e3",
            "max": 772,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_1dbd599e923e4dbd8f3f6e1bae8d7d5a",
            "value": 772
          }
        },
        "cb50067555b64c8a8c97a307934897a2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_036b8a630a3e43ef89f5b755ac1fc9d1",
            "placeholder": "​",
            "style": "IPY_MODEL_a312c079a91143a2bbc9a95c6fec95b2",
            "value": " 772/772 [00:00&lt;00:00, 21.6kB/s]"
          }
        },
        "f69766ffbaff4dccad2d68329e885925": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "343d3c8e08a64ecb995dfa466664f518": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "32128fd92a384c3b9db4053b6e92116c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "bcd936a4daaf4328a969c251bae9a6e3": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1dbd599e923e4dbd8f3f6e1bae8d7d5a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "036b8a630a3e43ef89f5b755ac1fc9d1": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a312c079a91143a2bbc9a95c6fec95b2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "98d2ae7a8ad24da5aee0fdec1cb00c19": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_fe80dd00ce6a4e0ba4557962c0218270",
              "IPY_MODEL_e63da42421de490b93408e4bb60aa8ce",
              "IPY_MODEL_112d38e2e619425d8556b68ca7946708"
            ],
            "layout": "IPY_MODEL_5db89701a2764188b5c1789d2a7e3e28"
          }
        },
        "fe80dd00ce6a4e0ba4557962c0218270": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_9f34fbcc08ed440abf36b348927433b6",
            "placeholder": "​",
            "style": "IPY_MODEL_25bdf1bc0db044fa8414dac0bd843f4e",
            "value": "Downloading: 100%"
          }
        },
        "e63da42421de490b93408e4bb60aa8ce": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_49c597eea2134de1885dd341ef0418b0",
            "max": 1719312805,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_5ade06af0d144a4ba239119d9e710797",
            "value": 1719312805
          }
        },
        "112d38e2e619425d8556b68ca7946708": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_2d4727c5f98046fa92f68486ccdbbded",
            "placeholder": "​",
            "style": "IPY_MODEL_ac30ebd36ff64f259f1e89f7aadb1118",
            "value": " 1.72G/1.72G [00:42&lt;00:00, 39.8MB/s]"
          }
        },
        "5db89701a2764188b5c1789d2a7e3e28": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9f34fbcc08ed440abf36b348927433b6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "25bdf1bc0db044fa8414dac0bd843f4e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "49c597eea2134de1885dd341ef0418b0": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5ade06af0d144a4ba239119d9e710797": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "2d4727c5f98046fa92f68486ccdbbded": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ac30ebd36ff64f259f1e89f7aadb1118": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "38c9b43064e44654abf5158bdc894dbd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_41e28393b91744339c878d102b6cb795",
              "IPY_MODEL_146092c07fb74757862bb34901a73275",
              "IPY_MODEL_4563bd52f43f4484ad986f08155bbb4f"
            ],
            "layout": "IPY_MODEL_1a7067491cea4ebcb1418dd8e9367c95"
          }
        },
        "41e28393b91744339c878d102b6cb795": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_30a3aceaeb04488ea3191a6d88a8d8f8",
            "placeholder": "​",
            "style": "IPY_MODEL_e8b569f6a08b4a65953e2f2ae5eef5e6",
            "value": "Downloading: 100%"
          }
        },
        "146092c07fb74757862bb34901a73275": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e92c759eac77443bbbc76e9cdf671ba2",
            "max": 71237,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_00044490cba04dc782dc203d60e9610c",
            "value": 71237
          }
        },
        "4563bd52f43f4484ad986f08155bbb4f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_92b9bf89002e478281f7a8b419a654e5",
            "placeholder": "​",
            "style": "IPY_MODEL_b322a2fe7aa548e6b59ae9573d00d922",
            "value": " 71.2k/71.2k [00:00&lt;00:00, 1.39MB/s]"
          }
        },
        "1a7067491cea4ebcb1418dd8e9367c95": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "30a3aceaeb04488ea3191a6d88a8d8f8": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e8b569f6a08b4a65953e2f2ae5eef5e6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "e92c759eac77443bbbc76e9cdf671ba2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "00044490cba04dc782dc203d60e9610c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "92b9bf89002e478281f7a8b419a654e5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b322a2fe7aa548e6b59ae9573d00d922": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "4e8ccb0621f64300aaf4d2e93d4dd589": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_fd94a91e4d3a4d49b6f454fd1056746d",
              "IPY_MODEL_9deb647ea1c548b393cb8ddc7f22bc33",
              "IPY_MODEL_6023721413c54c04be552f90144f6caa"
            ],
            "layout": "IPY_MODEL_90d22479558f4b5b9c7efdfcf45411a3"
          }
        },
        "fd94a91e4d3a4d49b6f454fd1056746d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_89c5931de0cd413da3b66406cf718e76",
            "placeholder": "​",
            "style": "IPY_MODEL_804c6b38881b4a838fa702db0bb6338d",
            "value": "Downloading: 100%"
          }
        },
        "9deb647ea1c548b393cb8ddc7f22bc33": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_396497bba79948e486091c32732bb855",
            "max": 550,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9d703ee9d8a64eab81404c40871da5ed",
            "value": 550
          }
        },
        "6023721413c54c04be552f90144f6caa": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_2a8add334df84959b3ab997113d816ac",
            "placeholder": "​",
            "style": "IPY_MODEL_3d88e98b9b42475ebaa54713934aa249",
            "value": " 550/550 [00:00&lt;00:00, 17.1kB/s]"
          }
        },
        "90d22479558f4b5b9c7efdfcf45411a3": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "89c5931de0cd413da3b66406cf718e76": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "804c6b38881b4a838fa702db0bb6338d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "396497bba79948e486091c32732bb855": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9d703ee9d8a64eab81404c40871da5ed": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "2a8add334df84959b3ab997113d816ac": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3d88e98b9b42475ebaa54713934aa249": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "116a3524310c4de284faa5eee253b0fb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_0ee3f98916e94fd1927a2dc5daa9dc0d",
              "IPY_MODEL_4a61a205c7664b8c83cc374851cbef93",
              "IPY_MODEL_19de77e358cd45aa8ab9940a51767641"
            ],
            "layout": "IPY_MODEL_5d18f352624d47fdaeb34717d3bb46d0"
          }
        },
        "0ee3f98916e94fd1927a2dc5daa9dc0d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e95f62c02d04492bb1455692692c274c",
            "placeholder": "​",
            "style": "IPY_MODEL_4cb9da037aab446e97daff047e8d6f3d",
            "value": "Downloading: 100%"
          }
        },
        "4a61a205c7664b8c83cc374851cbef93": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_9cdff7bfacf74ed3ab5458b0fb518d2d",
            "max": 167399505,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9df2b468f92249fd869e48f6863ccfa6",
            "value": 167399505
          }
        },
        "19de77e358cd45aa8ab9940a51767641": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_19f485a19f4f4aa6b714168c127b233a",
            "placeholder": "​",
            "style": "IPY_MODEL_fd63b0957082447dbfb87ee136e8d564",
            "value": " 167M/167M [00:04&lt;00:00, 40.6MB/s]"
          }
        },
        "5d18f352624d47fdaeb34717d3bb46d0": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e95f62c02d04492bb1455692692c274c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4cb9da037aab446e97daff047e8d6f3d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "9cdff7bfacf74ed3ab5458b0fb518d2d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9df2b468f92249fd869e48f6863ccfa6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "19f485a19f4f4aa6b714168c127b233a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fd63b0957082447dbfb87ee136e8d564": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "dc70cbb9b47b41e9a0c086a41d989e46": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_d4bdb74de32b4a6481ddb2cb8479ced7",
              "IPY_MODEL_851beaa6f0d143e190a5196f280fc93b",
              "IPY_MODEL_f1bf25b7273947a682d79658e0f575e4"
            ],
            "layout": "IPY_MODEL_95a556d4c5794f0e8c3b98e81ac0e657"
          }
        },
        "d4bdb74de32b4a6481ddb2cb8479ced7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_411a99664e09433c81459167c629b6fe",
            "placeholder": "​",
            "style": "IPY_MODEL_5aa9cd40297649b5ad1651eed905d4d3",
            "value": ""
          }
        },
        "851beaa6f0d143e190a5196f280fc93b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_88401a6b5deb48c9b2c48cfdbead8959",
            "max": 1,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9a25e3bdfc0e4c91980c69cfcb2481f6",
            "value": 1
          }
        },
        "f1bf25b7273947a682d79658e0f575e4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_581cfb1cc0894413ab1d023d10dace5e",
            "placeholder": "​",
            "style": "IPY_MODEL_1d77010c9b8248feafd83c70da088403",
            "value": " 38/? [00:46&lt;00:00,  1.22s/it]"
          }
        },
        "95a556d4c5794f0e8c3b98e81ac0e657": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "411a99664e09433c81459167c629b6fe": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "5aa9cd40297649b5ad1651eed905d4d3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "88401a6b5deb48c9b2c48cfdbead8959": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": "20px"
          }
        },
        "9a25e3bdfc0e4c91980c69cfcb2481f6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "581cfb1cc0894413ab1d023d10dace5e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1d77010c9b8248feafd83c70da088403": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/yvrjsharma/HugginFace_Gradio/blob/main/GradioApp_VisualGrounding_guided_Inpainting_StableDiffusion.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Stable Diffusion along with Visual Grounding** \n"
      ],
      "metadata": {
        "id": "IthH6d-JBh4l"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## OFA"
      ],
      "metadata": {
        "id": "lzCcqpq8ISEu"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ljS0h7J0CFwy",
        "outputId": "d806561f-a2bc-4523-94db-26b491a06753"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Cloning into 'OFA'...\n",
            "remote: Enumerating objects: 6224, done.\u001b[K\n",
            "remote: Counting objects: 100% (264/264), done.\u001b[K\n",
            "remote: Compressing objects: 100% (153/153), done.\u001b[K\n",
            "remote: Total 6224 (delta 154), reused 196 (delta 105), pack-reused 5960\u001b[K\n",
            "Receiving objects: 100% (6224/6224), 122.12 MiB | 36.69 MiB/s, done.\n",
            "Resolving deltas: 100% (2443/2443), done.\n"
          ]
        }
      ],
      "source": [
        "# clone OFA if there does not exist the repo\n",
        "%cd /content\n",
        "! git clone https://github.com/OFA-Sys/OFA.git"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content\n",
        "! mkdir -p /content/OFA/checkpoints/\n",
        "! wget https://ofa-silicon.oss-us-west-1.aliyuncs.com/checkpoints/ofa_large_384.pt\n",
        "! mv ofa_large_384.pt OFA/checkpoints/ofa_large.pt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MaBu-5EzIZMY",
        "outputId": "db367eb2-f67d-4e24-ebb8-923a17d8adf6"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "--2022-09-12 22:40:15--  https://ofa-silicon.oss-us-west-1.aliyuncs.com/checkpoints/ofa_large_384.pt\n",
            "Resolving ofa-silicon.oss-us-west-1.aliyuncs.com (ofa-silicon.oss-us-west-1.aliyuncs.com)... 47.88.111.45\n",
            "Connecting to ofa-silicon.oss-us-west-1.aliyuncs.com (ofa-silicon.oss-us-west-1.aliyuncs.com)|47.88.111.45|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 6230622025 (5.8G) [application/octet-stream]\n",
            "Saving to: ‘ofa_large_384.pt’\n",
            "\n",
            "ofa_large_384.pt    100%[===================>]   5.80G  25.8MB/s    in 4m 40s  \n",
            "\n",
            "2022-09-12 22:44:56 (21.2 MB/s) - ‘ofa_large_384.pt’ saved [6230622025/6230622025]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# clone Fairseq for installation\n",
        "%cd /content\n",
        "! git clone https://github.com/pytorch/fairseq.git\n",
        "%cd /content/fairseq\n",
        "! pip install --use-feature=in-tree-build ./"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ukQcNWh5IZJF",
        "outputId": "9623087f-0ec5-4f8f-b829-82eb387c4940"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n",
            "Cloning into 'fairseq'...\n",
            "remote: Enumerating objects: 32450, done.\u001b[K\n",
            "remote: Counting objects: 100% (195/195), done.\u001b[K\n",
            "remote: Compressing objects: 100% (107/107), done.\u001b[K\n",
            "remote: Total 32450 (delta 101), reused 157 (delta 87), pack-reused 32255\u001b[K\n",
            "Receiving objects: 100% (32450/32450), 22.55 MiB | 29.71 MiB/s, done.\n",
            "Resolving deltas: 100% (23743/23743), done.\n",
            "/content/fairseq\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Processing /content/fairseq\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting sacrebleu>=1.4.12\n",
            "  Downloading sacrebleu-2.2.0-py3-none-any.whl (116 kB)\n",
            "\u001b[K     |████████████████████████████████| 116 kB 3.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: cffi in /usr/local/lib/python3.7/dist-packages (from fairseq==0.12.2) (1.15.1)\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.7/dist-packages (from fairseq==0.12.2) (1.12.1+cu113)\n",
            "Collecting bitarray\n",
            "  Downloading bitarray-2.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (235 kB)\n",
            "\u001b[K     |████████████████████████████████| 235 kB 17.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from fairseq==0.12.2) (4.64.1)\n",
            "Requirement already satisfied: torchaudio>=0.8.0 in /usr/local/lib/python3.7/dist-packages (from fairseq==0.12.2) (0.12.1+cu113)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from fairseq==0.12.2) (1.21.6)\n",
            "Requirement already satisfied: cython in /usr/local/lib/python3.7/dist-packages (from fairseq==0.12.2) (0.29.32)\n",
            "Collecting hydra-core<1.1,>=1.0.7\n",
            "  Downloading hydra_core-1.0.7-py3-none-any.whl (123 kB)\n",
            "\u001b[K     |████████████████████████████████| 123 kB 45.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: regex in /usr/local/lib/python3.7/dist-packages (from fairseq==0.12.2) (2022.6.2)\n",
            "Collecting omegaconf<2.1\n",
            "  Downloading omegaconf-2.0.6-py3-none-any.whl (36 kB)\n",
            "Requirement already satisfied: importlib-resources in /usr/local/lib/python3.7/dist-packages (from hydra-core<1.1,>=1.0.7->fairseq==0.12.2) (5.9.0)\n",
            "Collecting antlr4-python3-runtime==4.8\n",
            "  Downloading antlr4-python3-runtime-4.8.tar.gz (112 kB)\n",
            "\u001b[K     |████████████████████████████████| 112 kB 36.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from omegaconf<2.1->fairseq==0.12.2) (4.1.1)\n",
            "Requirement already satisfied: PyYAML>=5.1.* in /usr/local/lib/python3.7/dist-packages (from omegaconf<2.1->fairseq==0.12.2) (6.0)\n",
            "Requirement already satisfied: tabulate>=0.8.9 in /usr/local/lib/python3.7/dist-packages (from sacrebleu>=1.4.12->fairseq==0.12.2) (0.8.10)\n",
            "Collecting colorama\n",
            "  Downloading colorama-0.4.5-py2.py3-none-any.whl (16 kB)\n",
            "Collecting portalocker\n",
            "  Downloading portalocker-2.5.1-py2.py3-none-any.whl (15 kB)\n",
            "Requirement already satisfied: lxml in /usr/local/lib/python3.7/dist-packages (from sacrebleu>=1.4.12->fairseq==0.12.2) (4.9.1)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi->fairseq==0.12.2) (2.21)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.7/dist-packages (from importlib-resources->hydra-core<1.1,>=1.0.7->fairseq==0.12.2) (3.8.1)\n",
            "Building wheels for collected packages: fairseq, antlr4-python3-runtime\n",
            "  Building wheel for fairseq (PEP 517) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for fairseq: filename=fairseq-0.12.2-cp37-cp37m-linux_x86_64.whl size=15430003 sha256=e154a60b724c1e83b1cd02a7691e8449f446983369012d9364494ed878e85bdd\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-umzl0qbh/wheels/7c/35/80/edbd520a1a7e615df007002aeea9f6bf5f3c8f9243e072f6ce\n",
            "  Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.8-py3-none-any.whl size=141230 sha256=4f431dd9a197f7ad74d736493c2fc440884d26ad39f3433e4e37740740a18557\n",
            "  Stored in directory: /root/.cache/pip/wheels/ca/33/b7/336836125fc9bb4ceaa4376d8abca10ca8bc84ddc824baea6c\n",
            "Successfully built fairseq antlr4-python3-runtime\n",
            "Installing collected packages: portalocker, omegaconf, colorama, antlr4-python3-runtime, sacrebleu, hydra-core, bitarray, fairseq\n",
            "Successfully installed antlr4-python3-runtime-4.8 bitarray-2.6.0 colorama-0.4.5 fairseq-0.12.2 hydra-core-1.0.7 omegaconf-2.0.6 portalocker-2.5.1 sacrebleu-2.2.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/OFA\n",
        "! sed '1d' requirements.txt | xargs -I {} pip install {}"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "20ewegwcIZG3",
        "outputId": "0330c3fd-2eb1-4309-ffe1-6d5dbdb86df0"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/OFA\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.7/dist-packages (4.6.0.66)\n",
            "Requirement already satisfied: numpy>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from opencv-python) (1.21.6)\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting timm\n",
            "  Downloading timm-0.6.7-py3-none-any.whl (509 kB)\n",
            "\u001b[K     |████████████████████████████████| 509 kB 3.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: torchvision in /usr/local/lib/python3.7/dist-packages (from timm) (0.13.1+cu113)\n",
            "Requirement already satisfied: torch>=1.4 in /usr/local/lib/python3.7/dist-packages (from timm) (1.12.1+cu113)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.4->timm) (4.1.1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from torchvision->timm) (2.23.0)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.7/dist-packages (from torchvision->timm) (7.1.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from torchvision->timm) (1.21.6)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision->timm) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision->timm) (2022.6.15)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision->timm) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->torchvision->timm) (2.10)\n",
            "Installing collected packages: timm\n",
            "Successfully installed timm-0.6.7\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting ftfy==6.0.3\n",
            "  Downloading ftfy-6.0.3.tar.gz (64 kB)\n",
            "\u001b[K     |████████████████████████████████| 64 kB 1.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: wcwidth in /usr/local/lib/python3.7/dist-packages (from ftfy==6.0.3) (0.2.5)\n",
            "Building wheels for collected packages: ftfy\n",
            "  Building wheel for ftfy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ftfy: filename=ftfy-6.0.3-py3-none-any.whl size=41933 sha256=e3bd80d5d25eb57c9d3d4a04f7f984229d4b9fe5e1db2fa601043a968bec5530\n",
            "  Stored in directory: /root/.cache/pip/wheels/19/f5/38/273eb3b5e76dfd850619312f693716ac4518b498f5ffb6f56d\n",
            "Successfully built ftfy\n",
            "Installing collected packages: ftfy\n",
            "Successfully installed ftfy-6.0.3\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting tensorboardX==2.4.1\n",
            "  Downloading tensorboardX-2.4.1-py2.py3-none-any.whl (124 kB)\n",
            "\u001b[K     |████████████████████████████████| 124 kB 3.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: protobuf>=3.8.0 in /usr/local/lib/python3.7/dist-packages (from tensorboardX==2.4.1) (3.17.3)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from tensorboardX==2.4.1) (1.21.6)\n",
            "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.7/dist-packages (from protobuf>=3.8.0->tensorboardX==2.4.1) (1.15.0)\n",
            "Installing collected packages: tensorboardX\n",
            "Successfully installed tensorboardX-2.4.1\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: pycocotools==2.0.4 in /usr/local/lib/python3.7/dist-packages (2.0.4)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from pycocotools==2.0.4) (1.21.6)\n",
            "Requirement already satisfied: matplotlib>=2.1.0 in /usr/local/lib/python3.7/dist-packages (from pycocotools==2.0.4) (3.2.2)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.4) (2.8.2)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.4) (1.4.4)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.4) (0.11.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0.4) (3.0.9)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from kiwisolver>=1.0.1->matplotlib>=2.1.0->pycocotools==2.0.4) (4.1.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib>=2.1.0->pycocotools==2.0.4) (1.15.0)\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting pycocoevalcap==1.2\n",
            "  Downloading pycocoevalcap-1.2-py3-none-any.whl (104.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 104.3 MB 56.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pycocotools>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from pycocoevalcap==1.2) (2.0.4)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from pycocotools>=2.0.2->pycocoevalcap==1.2) (1.21.6)\n",
            "Requirement already satisfied: matplotlib>=2.1.0 in /usr/local/lib/python3.7/dist-packages (from pycocotools>=2.0.2->pycocoevalcap==1.2) (3.2.2)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap==1.2) (1.4.4)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap==1.2) (0.11.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap==1.2) (3.0.9)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap==1.2) (2.8.2)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from kiwisolver>=1.0.1->matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap==1.2) (4.1.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib>=2.1.0->pycocotools>=2.0.2->pycocoevalcap==1.2) (1.15.0)\n",
            "Installing collected packages: pycocoevalcap\n",
            "Successfully installed pycocoevalcap-1.2\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting pytorch_lightning\n",
            "  Downloading pytorch_lightning-1.7.5-py3-none-any.whl (706 kB)\n",
            "\u001b[K     |████████████████████████████████| 706 kB 2.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: PyYAML>=5.4 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (6.0)\n",
            "Collecting tensorboard>=2.9.1\n",
            "  Downloading tensorboard-2.10.0-py3-none-any.whl (5.9 MB)\n",
            "\u001b[K     |████████████████████████████████| 5.9 MB 49.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.1.1)\n",
            "Requirement already satisfied: torch>=1.9.* in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.12.1+cu113)\n",
            "Collecting torchmetrics>=0.7.0\n",
            "  Downloading torchmetrics-0.9.3-py3-none-any.whl (419 kB)\n",
            "\u001b[K     |████████████████████████████████| 419 kB 63.3 MB/s \n",
            "\u001b[?25hCollecting pyDeprecate>=0.3.1\n",
            "  Downloading pyDeprecate-0.3.2-py3-none-any.whl (10 kB)\n",
            "Requirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (21.3)\n",
            "Requirement already satisfied: tqdm>=4.57.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.64.1)\n",
            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.21.6)\n",
            "Requirement already satisfied: fsspec[http]!=2021.06.0,>=2021.05.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2022.8.2)\n",
            "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.8.1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (6.0.2)\n",
            "Requirement already satisfied: asynctest==0.13.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (0.13.0)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.2.0)\n",
            "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.1.1)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.3.1)\n",
            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.8.1)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (4.0.2)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (22.1.0)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (3.0.9)\n",
            "Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (1.35.0)\n",
            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (1.48.1)\n",
            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (0.6.1)\n",
            "Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (1.0.1)\n",
            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (0.37.1)\n",
            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (3.4.1)\n",
            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (1.8.1)\n",
            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (0.4.6)\n",
            "Requirement already satisfied: protobuf<3.20,>=3.9.2 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (3.17.3)\n",
            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (1.2.0)\n",
            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.9.1->pytorch_lightning) (57.4.0)\n",
            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<3,>=1.6.3->tensorboard>=2.9.1->pytorch_lightning) (4.2.4)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<3,>=1.6.3->tensorboard>=2.9.1->pytorch_lightning) (4.9)\n",
            "Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<3,>=1.6.3->tensorboard>=2.9.1->pytorch_lightning) (1.15.0)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<3,>=1.6.3->tensorboard>=2.9.1->pytorch_lightning) (0.2.8)\n",
            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.9.1->pytorch_lightning) (1.3.1)\n",
            "Requirement already satisfied: importlib-metadata>=4.4 in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.9.1->pytorch_lightning) (4.12.0)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard>=2.9.1->pytorch_lightning) (3.8.1)\n",
            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard>=2.9.1->pytorch_lightning) (0.4.8)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2022.6.15)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.24.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.10)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.9.1->pytorch_lightning) (3.2.0)\n",
            "Installing collected packages: torchmetrics, tensorboard, pyDeprecate, pytorch-lightning\n",
            "  Attempting uninstall: tensorboard\n",
            "    Found existing installation: tensorboard 2.8.0\n",
            "    Uninstalling tensorboard-2.8.0:\n",
            "      Successfully uninstalled tensorboard-2.8.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.8.2+zzzcolab20220719082949 requires tensorboard<2.9,>=2.8, but you have tensorboard 2.10.0 which is incompatible.\u001b[0m\n",
            "Successfully installed pyDeprecate-0.3.2 pytorch-lightning-1.7.5 tensorboard-2.10.0 torchmetrics-0.9.3\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting einops\n",
            "  Downloading einops-0.4.1-py3-none-any.whl (28 kB)\n",
            "Installing collected packages: einops\n",
            "Successfully installed einops-0.4.1\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting datasets\n",
            "  Downloading datasets-2.4.0-py3-none-any.whl (365 kB)\n",
            "\u001b[K     |████████████████████████████████| 365 kB 3.2 MB/s \n",
            "\u001b[?25hCollecting responses<0.19\n",
            "  Downloading responses-0.18.0-py3-none-any.whl (38 kB)\n",
            "Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.7/dist-packages (from datasets) (4.64.1)\n",
            "Collecting xxhash\n",
            "  Downloading xxhash-3.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212 kB)\n",
            "\u001b[K     |████████████████████████████████| 212 kB 42.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: fsspec[http]>=2021.11.1 in /usr/local/lib/python3.7/dist-packages (from datasets) (2022.8.2)\n",
            "Collecting multiprocess\n",
            "  Downloading multiprocess-0.70.13-py37-none-any.whl (115 kB)\n",
            "\u001b[K     |████████████████████████████████| 115 kB 58.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from datasets) (1.3.5)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from datasets) (1.21.6)\n",
            "Requirement already satisfied: dill<0.3.6 in /usr/local/lib/python3.7/dist-packages (from datasets) (0.3.5.1)\n",
            "Requirement already satisfied: pyarrow>=6.0.0 in /usr/local/lib/python3.7/dist-packages (from datasets) (6.0.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from datasets) (21.3)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.7/dist-packages (from datasets) (2.23.0)\n",
            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.7/dist-packages (from datasets) (3.8.1)\n",
            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from datasets) (4.12.0)\n",
            "Collecting huggingface-hub<1.0.0,>=0.1.0\n",
            "  Downloading huggingface_hub-0.9.1-py3-none-any.whl (120 kB)\n",
            "\u001b[K     |████████████████████████████████| 120 kB 55.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: asynctest==0.13.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (0.13.0)\n",
            "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (2.1.1)\n",
            "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (4.0.2)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (4.1.1)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (1.3.1)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (6.0.2)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (1.2.0)\n",
            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (1.8.1)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->datasets) (22.1.0)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets) (3.8.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.7/dist-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets) (6.0)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->datasets) (3.0.9)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (2.10)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (1.24.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.19.0->datasets) (2022.6.15)\n",
            "Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1\n",
            "  Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB)\n",
            "\u001b[K     |████████████████████████████████| 127 kB 63.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->datasets) (3.8.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas->datasets) (2022.2.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n",
            "Installing collected packages: urllib3, xxhash, responses, multiprocess, huggingface-hub, datasets\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "Successfully installed datasets-2.4.0 huggingface-hub-0.9.1 multiprocess-0.70.13 responses-0.18.0 urllib3-1.25.11 xxhash-3.0.0\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting rouge_score\n",
            "  Downloading rouge_score-0.1.2.tar.gz (17 kB)\n",
            "Requirement already satisfied: absl-py in /usr/local/lib/python3.7/dist-packages (from rouge_score) (1.2.0)\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.7/dist-packages (from rouge_score) (3.7)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from rouge_score) (1.21.6)\n",
            "Requirement already satisfied: six>=1.14.0 in /usr/local/lib/python3.7/dist-packages (from rouge_score) (1.15.0)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from nltk->rouge_score) (4.64.1)\n",
            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.7/dist-packages (from nltk->rouge_score) (2022.6.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from nltk->rouge_score) (1.1.0)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from nltk->rouge_score) (7.1.2)\n",
            "Building wheels for collected packages: rouge-score\n",
            "  Building wheel for rouge-score (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24955 sha256=b08f2c8cd3b1acc5328dfe17c89fe1e7d286151043517a8f90b8ea10da5c8a77\n",
            "  Stored in directory: /root/.cache/pip/wheels/84/ac/6b/38096e3c5bf1dc87911e3585875e21a3ac610348e740409c76\n",
            "Successfully built rouge-score\n",
            "Installing collected packages: rouge-score\n",
            "Successfully installed rouge-score-0.1.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import numpy as np\n",
        "from fairseq import checkpoint_utils, distributed_utils, options, tasks, utils\n",
        "from fairseq.dataclass.utils import convert_namespace_to_omegaconf\n",
        "from tasks.mm_tasks.refcoco import RefcocoTask\n",
        "\n",
        "from models.ofa import OFAModel\n",
        "from PIL import Image\n",
        "\n",
        "tasks.register_task('refcoco', RefcocoTask)\n",
        "\n",
        "# turn on cuda if GPU is available\n",
        "use_cuda = torch.cuda.is_available()\n",
        "# use fp16 only when GPU is available\n",
        "use_fp16 = False\n",
        "\n",
        "# specify some options for evaluation\n",
        "parser = options.get_generation_parser()\n",
        "input_args = [\"\", \"--task=refcoco\", \"--beam=10\", \"--path=checkpoints/ofa_large.pt\", \"--bpe-dir=utils/BPE\", \"--no-repeat-ngram-size=3\", \"--patch-image-size=384\"]\n",
        "args = options.parse_args_and_arch(parser, input_args)\n",
        "cfg = convert_namespace_to_omegaconf(args)"
      ],
      "metadata": {
        "id": "tcLhKbhKIZEk"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Load pretrained ckpt & config\n",
        "task = tasks.setup_task(cfg.task)\n",
        "models, cfg = checkpoint_utils.load_model_ensemble(\n",
        "    utils.split_paths(cfg.common_eval.path),\n",
        "    task=task\n",
        ")\n",
        "\n",
        "# Move models to GPU\n",
        "for model in models:\n",
        "    model.eval()\n",
        "    if use_fp16:\n",
        "        model.half()\n",
        "    if use_cuda and not cfg.distributed_training.pipeline_model_parallel:\n",
        "        model.cuda()\n",
        "    model.prepare_for_inference_(cfg)\n",
        "\n",
        "# Initialize generator\n",
        "generator = task.build_generator(models, cfg.generation)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Omi8aToyIjWd",
        "outputId": "e185cc14-688f-4dab-b5e8-0ceae55ae7bd"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  ../aten/src/ATen/native/TensorShape.cpp:2894.)\n",
            "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "task.cfg.patch_image_size"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iHpqxR-XIjTF",
        "outputId": "a0790267-7833-40d4-a3e9-7f0dd2bff9c0"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "384"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Image transform\n",
        "from torchvision import transforms\n",
        "mean = [0.5, 0.5, 0.5]\n",
        "std = [0.5, 0.5, 0.5]\n",
        "\n",
        "patch_resize_transform = transforms.Compose([\n",
        "    lambda image: image.convert(\"RGB\"),\n",
        "    transforms.Resize((task.cfg.patch_image_size, task.cfg.patch_image_size), interpolation=Image.BICUBIC),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(mean=mean, std=std),\n",
        "])\n",
        "\n",
        "# Text preprocess\n",
        "bos_item = torch.LongTensor([task.src_dict.bos()])\n",
        "eos_item = torch.LongTensor([task.src_dict.eos()])\n",
        "pad_idx = task.src_dict.pad()\n",
        "\n",
        "\n",
        "def get_symbols_to_strip_from_output(generator):\n",
        "    if hasattr(generator, \"symbols_to_strip_from_output\"):\n",
        "        return generator.symbols_to_strip_from_output\n",
        "    else:\n",
        "        return {generator.bos, generator.eos}\n",
        "\n",
        "\n",
        "def decode_fn(x, tgt_dict, bpe, generator, tokenizer=None):\n",
        "    x = tgt_dict.string(x.int().cpu(), extra_symbols_to_ignore=get_symbols_to_strip_from_output(generator))\n",
        "    token_result = []\n",
        "    bin_result = []\n",
        "    img_result = []\n",
        "    for token in x.strip().split():\n",
        "      if token.startswith('<bin_'):\n",
        "        bin_result.append(token)\n",
        "      elif token.startswith('<code_'):\n",
        "        img_result.append(token)\n",
        "      else:\n",
        "        if bpe is not None:\n",
        "          token = bpe.decode('{}'.format(token))\n",
        "        if tokenizer is not None:\n",
        "          token = tokenizer.decode(token)\n",
        "        if token.startswith(' ') or len(token_result) == 0:\n",
        "          token_result.append(token.strip())\n",
        "        else:\n",
        "          token_result[-1] += token\n",
        "\n",
        "    return ' '.join(token_result), ' '.join(bin_result), ' '.join(img_result)\n",
        "\n",
        "\n",
        "def coord2bin(coords, w_resize_ratio, h_resize_ratio):\n",
        "    coord_list = [float(coord) for coord in coords.strip().split()]\n",
        "    bin_list = []\n",
        "    bin_list += [\"<bin_{}>\".format(int(round(coord_list[0] * w_resize_ratio / task.cfg.max_image_size * (task.cfg.num_bins - 1))))]\n",
        "    bin_list += [\"<bin_{}>\".format(int(round(coord_list[1] * h_resize_ratio / task.cfg.max_image_size * (task.cfg.num_bins - 1))))]\n",
        "    bin_list += [\"<bin_{}>\".format(int(round(coord_list[2] * w_resize_ratio / task.cfg.max_image_size * (task.cfg.num_bins - 1))))]\n",
        "    bin_list += [\"<bin_{}>\".format(int(round(coord_list[3] * h_resize_ratio / task.cfg.max_image_size * (task.cfg.num_bins - 1))))]\n",
        "    return ' '.join(bin_list)\n",
        "\n",
        "\n",
        "def bin2coord(bins, w_resize_ratio, h_resize_ratio):\n",
        "    bin_list = [int(bin[5:-1]) for bin in bins.strip().split()]\n",
        "    coord_list = []\n",
        "    coord_list += [bin_list[0] / (task.cfg.num_bins - 1) * task.cfg.max_image_size / w_resize_ratio]\n",
        "    coord_list += [bin_list[1] / (task.cfg.num_bins - 1) * task.cfg.max_image_size / h_resize_ratio]\n",
        "    coord_list += [bin_list[2] / (task.cfg.num_bins - 1) * task.cfg.max_image_size / w_resize_ratio]\n",
        "    coord_list += [bin_list[3] / (task.cfg.num_bins - 1) * task.cfg.max_image_size / h_resize_ratio]\n",
        "    return coord_list\n",
        "\n",
        "\n",
        "def encode_text(text, length=None, append_bos=False, append_eos=False):\n",
        "    line = [\n",
        "      task.bpe.encode(' {}'.format(word.strip())) \n",
        "      if not word.startswith('<code_') and not word.startswith('<bin_') else word\n",
        "      for word in text.strip().split()\n",
        "    ]\n",
        "    line = ' '.join(line)\n",
        "    s = task.tgt_dict.encode_line(\n",
        "        line=line,\n",
        "        add_if_not_exist=False,\n",
        "        append_eos=False\n",
        "    ).long()\n",
        "    if length is not None:\n",
        "        s = s[:length]\n",
        "    if append_bos:\n",
        "        s = torch.cat([bos_item, s])\n",
        "    if append_eos:\n",
        "        s = torch.cat([s, eos_item])\n",
        "    return s\n",
        "\n",
        "def construct_sample(image: Image, instruction: str):\n",
        "    patch_image = patch_resize_transform(image).unsqueeze(0)\n",
        "    patch_mask = torch.tensor([True])\n",
        "\n",
        "    instruction = encode_text(' {}'.format(instruction.lower().strip()), append_bos=True, append_eos=True).unsqueeze(0)\n",
        "    instruction_length = torch.LongTensor([s.ne(pad_idx).long().sum() for s in instruction])\n",
        "    sample = {\n",
        "        \"id\":np.array(['42']),\n",
        "        \"net_input\": {\n",
        "            \"src_tokens\": instruction,\n",
        "            \"src_lengths\": instruction_length,\n",
        "            \"patch_images\": patch_image,\n",
        "            \"patch_masks\": patch_mask,\n",
        "        }\n",
        "    }\n",
        "    return sample\n",
        "  \n",
        "# Function to turn FP32 to FP16\n",
        "def apply_half(t):\n",
        "    if t.dtype is torch.float32:\n",
        "        return t.to(dtype=torch.half)\n",
        "    return t"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kYikWPPMIjQs",
        "outputId": "536d119f-f1ff-410f-85e3-c08f1214c28b"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torchvision/transforms/transforms.py:333: UserWarning: Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum.\n",
            "  \"Argument 'interpolation' of type int is deprecated since 0.13 and will be removed in 0.15. \"\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Visual Grounding Question"
      ],
      "metadata": {
        "id": "KqeMyYkgmfRJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import cv2\n",
        "import numpy\n",
        "from google.colab.patches import cv2_imshow\n",
        "import PIL\n",
        "\n",
        "def get_ofa_visual_grounding(image, question):  #pil image as input\n",
        "  # construct instruction\n",
        "  w, h = image.size\n",
        "  instruction = 'which region is the text \" ' + question + ' \" describe?' \n",
        "\n",
        "  # Construct input sample & preprocess for GPU if cuda available\n",
        "  sample = construct_sample(image, instruction)\n",
        "  sample = utils.move_to_cuda(sample) if use_cuda else sample\n",
        "  sample = utils.apply_to_sample(apply_half, sample) if use_fp16 else sample\n",
        "\n",
        "  # Generate result\n",
        "  with torch.no_grad():\n",
        "      hypos = task.inference_step(generator, models, sample)\n",
        "      tokens, bins, imgs = decode_fn(hypos[0][0][\"tokens\"], task.tgt_dict, task.bpe, generator)\n",
        "\n",
        "  # display result\n",
        "  w_resize_ratio = task.cfg.patch_image_size / w\n",
        "  h_resize_ratio = task.cfg.patch_image_size / h\n",
        "  img = cv2.cvtColor(numpy.asarray(image), cv2.COLOR_RGB2BGR)\n",
        "  coord_list = bin2coord(bins, w_resize_ratio, h_resize_ratio)\n",
        "  coords = [int(coord_list[0]), int(coord_list[1]), int(coord_list[2]), int(coord_list[3])]\n",
        "\n",
        "  return coords, img #cv2_imshow(img)"
      ],
      "metadata": {
        "id": "0s8TMGua88GM"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Image mask"
      ],
      "metadata": {
        "id": "erj_PJc-d4f0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import cv2\n",
        "from matplotlib import pyplot as plt\n",
        "\n",
        "def create_mask(coords, img):\n",
        "  temp_mask_image = np.zeros(img.shape, dtype = \"uint8\")\n",
        "  #plt.imshow(temp_mask_image, interpolation='nearest')\n",
        "  #plt.show()\n",
        "  mask_image = PIL.Image.fromarray(np.uint8(temp_mask_image)).convert(\"RGB\") #.resize((512, 512))\n",
        "  #coords = [int(coord_list[0]), int(coord_list[1]), int(coord_list[2]), int(coord_list[3])]\n",
        "  mask_image.paste( (255,255,255), coords)       #[0,0,25,25])\n",
        "  return mask_image\n"
      ],
      "metadata": {
        "id": "h8wnitfndvOy"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Stable Diffusion - Setting up access to Huggingface Hub\n",
        "You would have to sign into HuggingFace to access Stable Diffusion artifacts"
      ],
      "metadata": {
        "id": "lFmA5xZkKFmm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -qq transformers ftfy diffusers==0.2.4\n",
        "!pip install -qq \"ipywidgets>=7,<8\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-oSbDhCIKH3W",
        "outputId": "bca0220b-9bc6-4e7f-9e0a-1243568c95e2"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[K     |████████████████████████████████| 4.7 MB 3.2 MB/s \n",
            "\u001b[K     |████████████████████████████████| 112 kB 54.8 MB/s \n",
            "\u001b[K     |████████████████████████████████| 6.6 MB 11.6 MB/s \n",
            "\u001b[K     |████████████████████████████████| 1.6 MB 3.2 MB/s \n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from huggingface_hub import notebook_login\n",
        "\n",
        "# Please enter your security token when prompted\n",
        "\n",
        "notebook_login()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 271,
          "referenced_widgets": [
            "a41ce27be81f44d2975fd51a878902ae",
            "210e2a11c22840f08b3fa5005b83bafa",
            "346672c1da9146648ca69f8aef8bb0ee",
            "843ae4acf9c8415fa1832e2f2f897f87",
            "2cce67c83c8144df843f140ae9f70d41",
            "146ab0a8162849eaa2fcccc731b8ffa3",
            "a992f69226c942bd81195834db98469f",
            "f5752285619243c1b4418b08dfcc97c2",
            "a4b92ac61d0f49b090426f300d4e8fa8",
            "ef568927a99f495c9974f353f8acde3e",
            "a1cfc174d89f489194eba26bb622a628",
            "261a4c1284cc414082ff178697dd96e9",
            "c2a349a0dec846b990326ea2b5aeda76",
            "4930a270eb7c40779b7daabe92cd6af9"
          ]
        },
        "id": "GGj5UYpRMwcj",
        "outputId": "0ac00fce-859f-41e2-daed-a701ec1b06de"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Login successful\n",
            "Your token has been saved to /root/.huggingface/token\n",
            "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n",
            "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n",
            "\n",
            "git config --global credential.helper store\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Stable Diffusion - Using Diffusers and InPainting "
      ],
      "metadata": {
        "id": "hL3zdxqcsqCA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Code from Huggingface Diffusers Inpainting demo colab\n",
        "\n",
        "import inspect\n",
        "from typing import List, Optional, Union\n",
        "\n",
        "import numpy as np\n",
        "import torch \n",
        "\n",
        "\n",
        "import PIL\n",
        "from diffusers import AutoencoderKL, DDIMScheduler, DiffusionPipeline, PNDMScheduler, UNet2DConditionModel\n",
        "from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker\n",
        "from tqdm.auto import tqdm\n",
        "from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer\n",
        "\n",
        "\n",
        "def preprocess_image(image):\n",
        "    w, h = image.size\n",
        "    w, h = map(lambda x: x - x % 32, (w, h))  # resize to integer multiple of 32\n",
        "    image = image.resize((w, h), resample=PIL.Image.LANCZOS)\n",
        "    image = np.array(image).astype(np.float32) / 255.0\n",
        "    image = image[None].transpose(0, 3, 1, 2)\n",
        "    image = torch.from_numpy(image)\n",
        "    return 2.0 * image - 1.0\n",
        "\n",
        "def preprocess_mask(mask):\n",
        "    mask=mask.convert(\"L\")\n",
        "    w, h = mask.size\n",
        "    w, h = map(lambda x: x - x % 32, (w, h))  # resize to integer multiple of 32\n",
        "    mask = mask.resize((w//8, h//8), resample=PIL.Image.NEAREST)\n",
        "    mask = np.array(mask).astype(np.float32) / 255.0\n",
        "    mask = np.tile(mask,(4,1,1))\n",
        "    mask = mask[None].transpose(0, 1, 2, 3)#what does this step do?\n",
        "    mask = 1 - mask #repaint white, keep black\n",
        "    mask = torch.from_numpy(mask)\n",
        "    return mask\n",
        "\n",
        "\n",
        "class StableDiffusionInpaintingPipeline(DiffusionPipeline):\n",
        "    def __init__(\n",
        "        self,\n",
        "        vae: AutoencoderKL,\n",
        "        text_encoder: CLIPTextModel,\n",
        "        tokenizer: CLIPTokenizer,\n",
        "        unet: UNet2DConditionModel,\n",
        "        scheduler: Union[DDIMScheduler, PNDMScheduler],\n",
        "        safety_checker: StableDiffusionSafetyChecker,\n",
        "        feature_extractor: CLIPFeatureExtractor,\n",
        "    ):\n",
        "        super().__init__()\n",
        "        scheduler = scheduler.set_format(\"pt\")\n",
        "        self.register_modules(\n",
        "            vae=vae,\n",
        "            text_encoder=text_encoder,\n",
        "            tokenizer=tokenizer,\n",
        "            unet=unet,\n",
        "            scheduler=scheduler,\n",
        "            safety_checker=safety_checker,\n",
        "            feature_extractor=feature_extractor,\n",
        "        )\n",
        "\n",
        "    @torch.no_grad()\n",
        "    def __call__(\n",
        "        self,\n",
        "        prompt: Union[str, List[str]],\n",
        "        init_image: torch.FloatTensor,\n",
        "        mask_image: torch.FloatTensor,\n",
        "        strength: float = 0.8,\n",
        "        num_inference_steps: Optional[int] = 50,\n",
        "        guidance_scale: Optional[float] = 7.5,\n",
        "        eta: Optional[float] = 0.0,\n",
        "        generator: Optional[torch.Generator] = None,\n",
        "        output_type: Optional[str] = \"pil\",\n",
        "    ):\n",
        "\n",
        "        if isinstance(prompt, str):\n",
        "            batch_size = 1\n",
        "        elif isinstance(prompt, list):\n",
        "            batch_size = len(prompt)\n",
        "        else:\n",
        "            raise ValueError(f\"`prompt` has to be of type `str` or `list` but is {type(prompt)}\")\n",
        "\n",
        "        if strength < 0 or strength > 1:\n",
        "            raise ValueError(f\"The value of strength should in [0.0, 1.0] but is {strength}\")\n",
        "\n",
        "        # set timesteps\n",
        "        accepts_offset = \"offset\" in set(inspect.signature(self.scheduler.set_timesteps).parameters.keys())\n",
        "        extra_set_kwargs = {}\n",
        "        offset = 0\n",
        "        if accepts_offset:\n",
        "            offset = 1\n",
        "            extra_set_kwargs[\"offset\"] = 1\n",
        "\n",
        "        self.scheduler.set_timesteps(num_inference_steps, **extra_set_kwargs)\n",
        "\n",
        "        #preprocess image\n",
        "        init_image = preprocess_image(init_image).to(self.device)\n",
        "\n",
        "        # encode the init image into latents and scale the latents\n",
        "        init_latents = self.vae.encode(init_image).sample()\n",
        "        init_latents = 0.18215 * init_latents\n",
        "\n",
        "        # prepare init_latents noise to latents\n",
        "        init_latents = torch.cat([init_latents] * batch_size)\n",
        "        init_latents_orig = init_latents\n",
        "\n",
        "        # preprocess mask\n",
        "        mask = preprocess_mask(mask_image).to(self.device)\n",
        "        mask = torch.cat([mask] * batch_size)\n",
        "\n",
        "        #check sizes\n",
        "        if not mask.shape == init_latents.shape:\n",
        "            raise ValueError(f\"The mask and init_image should be the same size!\")\n",
        "\n",
        "\n",
        "        # get the original timestep using init_timestep\n",
        "        init_timestep = int(num_inference_steps * strength) + offset\n",
        "        init_timestep = min(init_timestep, num_inference_steps)\n",
        "        timesteps = self.scheduler.timesteps[-init_timestep]\n",
        "        timesteps = torch.tensor([timesteps] * batch_size, dtype=torch.long, device=self.device)\n",
        "\n",
        "        # add noise to latents using the timesteps\n",
        "        noise = torch.randn(init_latents.shape, generator=generator, device=self.device)\n",
        "        init_latents = self.scheduler.add_noise(init_latents, noise, timesteps)\n",
        "\n",
        "        # get prompt text embeddings\n",
        "        text_input = self.tokenizer(\n",
        "            prompt,\n",
        "            padding=\"max_length\",\n",
        "            max_length=self.tokenizer.model_max_length,\n",
        "            truncation=True,\n",
        "            return_tensors=\"pt\",\n",
        "        )\n",
        "        text_embeddings = self.text_encoder(text_input.input_ids.to(self.device))[0]\n",
        "\n",
        "        # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)\n",
        "        # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`\n",
        "        # corresponds to doing no classifier free guidance.\n",
        "        do_classifier_free_guidance = guidance_scale > 1.0\n",
        "        # get unconditional embeddings for classifier free guidance\n",
        "        if do_classifier_free_guidance:\n",
        "            max_length = text_input.input_ids.shape[-1]\n",
        "            uncond_input = self.tokenizer(\n",
        "                [\"\"] * batch_size, padding=\"max_length\", max_length=max_length, return_tensors=\"pt\"\n",
        "            )\n",
        "            uncond_embeddings = self.text_encoder(uncond_input.input_ids.to(self.device))[0]\n",
        "\n",
        "            # For classifier free guidance, we need to do two forward passes.\n",
        "            # Here we concatenate the unconditional and text embeddings into a single batch\n",
        "            # to avoid doing two forward passes\n",
        "            text_embeddings = torch.cat([uncond_embeddings, text_embeddings])\n",
        "\n",
        "        # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature\n",
        "        # eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers.\n",
        "        # eta corresponds to η in DDIM paper: https://arxiv.org/abs/2010.02502\n",
        "        # and should be between [0, 1]\n",
        "        accepts_eta = \"eta\" in set(inspect.signature(self.scheduler.step).parameters.keys())\n",
        "        extra_step_kwargs = {}\n",
        "        if accepts_eta:\n",
        "            extra_step_kwargs[\"eta\"] = eta\n",
        "\n",
        "        latents = init_latents\n",
        "        t_start = max(num_inference_steps - init_timestep + offset, 0)\n",
        "        for i, t in tqdm(enumerate(self.scheduler.timesteps[t_start:])):\n",
        "            # expand the latents if we are doing classifier free guidance\n",
        "            latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents\n",
        "\n",
        "            # predict the noise residual\n",
        "            noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings)[\"sample\"]\n",
        "\n",
        "            # perform guidance\n",
        "            if do_classifier_free_guidance:\n",
        "                noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)\n",
        "                noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)\n",
        "\n",
        "            # compute the previous noisy sample x_t -> x_t-1\n",
        "            latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs)[\"prev_sample\"]\n",
        "\n",
        "            #masking\n",
        "            init_latents_proper = self.scheduler.add_noise(init_latents_orig, noise, t)\n",
        "            latents = ( init_latents_proper * mask ) + ( latents * (1-mask) )\n",
        "\n",
        "        # scale and decode the image latents with vae\n",
        "        latents = 1 / 0.18215 * latents\n",
        "        image = self.vae.decode(latents)\n",
        "\n",
        "        image = (image / 2 + 0.5).clamp(0, 1)\n",
        "        image = image.cpu().permute(0, 2, 3, 1).numpy()\n",
        "\n",
        "        # run safety checker\n",
        "        safety_cheker_input = self.feature_extractor(self.numpy_to_pil(image), return_tensors=\"pt\").to(self.device)\n",
        "        image, has_nsfw_concept = self.safety_checker(images=image, clip_input=safety_cheker_input.pixel_values)\n",
        "\n",
        "        if output_type == \"pil\":\n",
        "            image = self.numpy_to_pil(image)\n",
        "\n",
        "        return {\"sample\": image, \"nsfw_content_detected\": has_nsfw_concept}"
      ],
      "metadata": {
        "id": "I2kadyplMwY8"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "device = \"cuda\"\n",
        "model_path = \"CompVis/stable-diffusion-v1-4\"\n",
        "\n",
        "pipe = StableDiffusionInpaintingPipeline.from_pretrained(\n",
        "    model_path,\n",
        "    revision=\"fp16\", \n",
        "    torch_dtype=torch.float16,\n",
        "    use_auth_token=True\n",
        ").to(device)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 625,
          "referenced_widgets": [
            "956644f5239d44b48a10f5e42a4f8941",
            "92ea3aacd7d940fbb4da4839016de454",
            "92d0875220b04712bd6f4fa9cdeb8665",
            "739c7dfcfdc7444f95c28076aaba69d4",
            "112da941935247f684c58b6d396e8bd0",
            "ea4da12e90a44b66a67521b4c8a3307a",
            "6998e145b0a64281840d0bc5036d043d",
            "6508cb0903ed4e458fde16d20ee71205",
            "6c7769290bb3460cb7120d80d7d882e7",
            "3bba9e8c7edf4261b2331e6a5f750798",
            "fde681e5826f40e4beac6f2a861378fa",
            "123ad89e740b46caabe6279d34a6ca05",
            "096b35c35b104a52a4b87a11ea36e4a8",
            "d621a684a1284befa89d0d8b622a68ed",
            "230844c0408249c9b47d01235b8cb7c8",
            "fa0b8145fd9a4f7295a9b6b40ab747dd",
            "4a2e54bad48a4d6babd20725ea61648e",
            "bc5e63fa35c945ca96ea578b665b8bb4",
            "17b29bf7bba04b2c8cde643912d8eeb5",
            "ac49d9beef6944b3b1606cb2d16a93dc",
            "97c7b2a9716144c6b4f363683ddd14b2",
            "78768bd90501452c897e291e3faacca7",
            "1f13b8c7812b415abd6b9716679ceefb",
            "16536a793176400588921a4acab040b9",
            "c438aad488c24a4ca7b09450be5bc9b6",
            "0201bddc5e37408694cc6d5c7578b98c",
            "99ccdfb5b01748b1952aab791a1d71a7",
            "b94fa02637104f5593ff276fc603c55a",
            "8c6cf777809e427c8cb0c1e4f0f1c1c4",
            "f34884aed3764c7097ff275d3b946b41",
            "0c59e96d3a424e74be60964ce6b5cb30",
            "923dcf33adef4f38b7e590325e6a54c6",
            "9ff4a8efddbc4a3a8692ee2305f93789",
            "b52dec68ff114ef3ba28e57b587b9066",
            "5e2f16c857b54a92ba1b1e1f36102dde",
            "9a4fad646ee244f4ab3b14169f6ee174",
            "813f1d25913946d9aadb22c0faee5394",
            "c6409496496e4e619f27218b38bfa96b",
            "dc41633f473b464d93d5820bb676253f",
            "28baab07f4174ecf93fdff049dc18355",
            "061b4c48fed64036b642fce7e2af33b0",
            "2976bf33df9d482ead24c3c2aabcb37c",
            "9c670f807830489985c6016a427d4f00",
            "cdcd4266113843308d9d1ae97f91cc0b",
            "f2dcef01d69a4c97b67ee8d7cfeada67",
            "ead210a999de4e22a702cb82c03a0e54",
            "74b3abbd62d540cebd2d93b5ff5060c4",
            "6c7c569786fd41e7a97be7f3fb028181",
            "b713466ad95c498b90f887b5f285b4b6",
            "61608dce0053499399167d8f2f593562",
            "b9353542604f4d4c80d2c0d768ffd5e7",
            "bcafd49561d54cc7a77b7009d3f91c32",
            "7d1f7d3497484b5e8a53bcb71fd4991d",
            "1a83270a5ff74a928d56dc1c20ec5ca4",
            "7838fd02ba694fd1a4e3806462164579",
            "5c2717e2f7f84a648f27def1c7f63a2b",
            "29e126da0b6442d4b1e1c0e6df0a0d62",
            "72247b012cdf40efbb559f88fa1f437f",
            "72cb7c8457aa46018db1227c8005c471",
            "3cbad882e2de4664bf58cca94ee29b12",
            "a1554b5d374f4068a8624305af2560d2",
            "c6ae1269868b46008c1d8b73a4dbd7d7",
            "7cf315f57871446b85f869924002d9c2",
            "ca59cd0508aa4279a04fff9cbc5e7bf1",
            "70f1a16678c04c3eba40855a03bdce80",
            "51dfb46ee0984c98811f90a85dbdef01",
            "2a98d1a08b924ef398fe82d96f29f6b9",
            "f1323ed470384d4dbb116dccc82628a9",
            "4205bd3b19674752b6a2e371ce0300a2",
            "6b5ae4066f3e4b39b139a3f9d91297b7",
            "29a0edb1d54e4bbd9e2bcd00eac16e81",
            "3bb23b412c2e4319bb1d76889725ebf8",
            "6279c0c5b35542e6a96adca6270bbe33",
            "74f988d317594c43ac0af5f3e27c1137",
            "0cc45f979e3b416189bbbd051545fc70",
            "0500b482c05e4187a73f4e1cab2b8db5",
            "2fd366bcf1c743949c3e5011d9ccf526",
            "db47a206a3c24e18bdb6800bbf455028",
            "6601b1719f7e4d6dac17e0553ae26dc3",
            "785985f8e8424d859f9e13dc5faa7102",
            "ad55c3a52b80400d8626e450d9c66fdf",
            "47ba79a583f044bb8a4360de9ca5b726",
            "0a372bf22be848709275b453dadc90c0",
            "75a8acd4ea914534a5d8b2839986af1f",
            "34d67b4d0db84e7ca9aeff8f09e21a38",
            "bb5943006fce467d807bb4c099d1e481",
            "f8082dd587a34de4936c6859e5b55a46",
            "e1e7bf0053084e5f9cc657735515180b",
            "34f86b5f697c41f5b70a7a21c7fb8d93",
            "2978b416a772411eb4a08b8166efa950",
            "8fcb17da3c414c7591c5acbfadcae431",
            "ecc9cba9cad241cb9bcfa71a2d8328ef",
            "48a92c61cb7d4b4fbc29293b7d3c0cbc",
            "ffe83a870be1424dabc6e80afa0c1532",
            "2c448f4c2225458aa45b3680a788f4e6",
            "e7edfe8aefa14363b4e09a5d1caeed61",
            "eb42fdccedb54847ad3ef6729d3f2109",
            "1454bbafe9fb4aecbc2894c48ce7cb77",
            "c90e11417d8f4184aa8afa761d1db095",
            "a19e2d3974614f3f905be907c7931e2e",
            "fa56463353cf42729f9099bc945017c5",
            "2556ca33a0964f84a6f919a63dbb1c49",
            "0f77e01fa24a461b8bbdb5fe6bec3865",
            "c8f03fca8bae4b219a5712a98304eece",
            "6172b552a0ce4c5a8cd47611fcaf58f5",
            "dc7286b1b9e84f9aa2fdf59e32db04a7",
            "bed50105dc66481d81ee1dc387c7442a",
            "a6ee1b229c5348e181f7f620f0e01893",
            "fb4757d620b34d369e44e4ec827b1ffd",
            "e912aa18674a426aacdd043707347543",
            "8b72dd8c43ba4433bb80b9ad298339cf",
            "21ea94bf2f264a0ca69303c545f60dea",
            "137c8f5b8b1a499d80b37b2b6ac3fb96",
            "2ac69a651b69442e9d2e03546627565f",
            "e50ec51475b64b20aeeb20ccadb8c6a0",
            "a9c00926848040efa76b42c5a9e9c656",
            "b81e87ebf4aa4ef7b98f01464e5c5979",
            "7280792eac764847b2b6b1e70f8f5d8d",
            "4e29dfad603640648648bba9172303f0",
            "9f631f2ca7d249c78d2adb9179bd98e5",
            "2422bba144d5445b9b5c3812459d3553",
            "1dc4087a56844434937588aa89014ab5",
            "b1a30ecc29e94373a48ee09b65536bf1",
            "87dbb23ea3a746f58cc3fb002ab0c49d",
            "89794adcfc1248d58ba26139156b2693",
            "a62a70ea1af3476881032b9b607d011e",
            "6945dae6d439416dbd12468515a82b74",
            "10c065f059da43f984798fbebdb227b6",
            "fc5adb3032094780a23c88ad4fb8d5af",
            "eb636c7db8974fcd8b8cd7e806a4c5f7",
            "17966b0340044d668e86102ecfbc131e",
            "eccf0ffa22274aec93d436bfc38a0eed",
            "e78e24476c524a47bb0e869f5d771c5a",
            "3fbc4dc612284f5cb4d15d85540da02e",
            "e0d0fac21e2a4fbdb327f56e1eeced8b",
            "a158b8d7c8724153b8f73dc5adaefeb5",
            "f6fe99cd5da144b985d7f11069995a65",
            "94fe32b6a1644dee994c2a0517e5c93c",
            "89629b76bcc44c62b6f46aeed5e3aaa5",
            "ec684d4bbb50439f984802a63b037a1d",
            "cb8d8fa50ea94aba8d075daa28fa1622",
            "a6169b24c39842df9371a252af2eadc6",
            "504528fa1fc14ad18799182bc7ff5267",
            "ca03f96682974a50bac543ce0520d555",
            "820c3d8cc6a441ecaec71050516c21b5",
            "d8cc03c7cb384030a797c91cd2edcb98",
            "9b7c9cce052d40849ba08d692ef5f4db",
            "4dda828bedba48e5926ce88ae73d9dee",
            "8238b6a9bfb445f8ba068f09d314c64b",
            "7460a075624b451c8f6164897f6f067f",
            "b195b915b9c647b5bdca641006262162",
            "7a351597f8a84affbb62006799a12054",
            "4b657935c35f40de8d65f759891c4e4c",
            "33ce9519ccdc4ab09a4cbddc5e6eb857",
            "80a167f492cf44f49a5452b2454adf5d",
            "ea3c552962c54dc7994396f85bd9ed9f",
            "12e7bddaa8ec46a7bab3b9d2cf80b7ed",
            "cb50067555b64c8a8c97a307934897a2",
            "f69766ffbaff4dccad2d68329e885925",
            "343d3c8e08a64ecb995dfa466664f518",
            "32128fd92a384c3b9db4053b6e92116c",
            "bcd936a4daaf4328a969c251bae9a6e3",
            "1dbd599e923e4dbd8f3f6e1bae8d7d5a",
            "036b8a630a3e43ef89f5b755ac1fc9d1",
            "a312c079a91143a2bbc9a95c6fec95b2",
            "98d2ae7a8ad24da5aee0fdec1cb00c19",
            "fe80dd00ce6a4e0ba4557962c0218270",
            "e63da42421de490b93408e4bb60aa8ce",
            "112d38e2e619425d8556b68ca7946708",
            "5db89701a2764188b5c1789d2a7e3e28",
            "9f34fbcc08ed440abf36b348927433b6",
            "25bdf1bc0db044fa8414dac0bd843f4e",
            "49c597eea2134de1885dd341ef0418b0",
            "5ade06af0d144a4ba239119d9e710797",
            "2d4727c5f98046fa92f68486ccdbbded",
            "ac30ebd36ff64f259f1e89f7aadb1118",
            "38c9b43064e44654abf5158bdc894dbd",
            "41e28393b91744339c878d102b6cb795",
            "146092c07fb74757862bb34901a73275",
            "4563bd52f43f4484ad986f08155bbb4f",
            "1a7067491cea4ebcb1418dd8e9367c95",
            "30a3aceaeb04488ea3191a6d88a8d8f8",
            "e8b569f6a08b4a65953e2f2ae5eef5e6",
            "e92c759eac77443bbbc76e9cdf671ba2",
            "00044490cba04dc782dc203d60e9610c",
            "92b9bf89002e478281f7a8b419a654e5",
            "b322a2fe7aa548e6b59ae9573d00d922",
            "4e8ccb0621f64300aaf4d2e93d4dd589",
            "fd94a91e4d3a4d49b6f454fd1056746d",
            "9deb647ea1c548b393cb8ddc7f22bc33",
            "6023721413c54c04be552f90144f6caa",
            "90d22479558f4b5b9c7efdfcf45411a3",
            "89c5931de0cd413da3b66406cf718e76",
            "804c6b38881b4a838fa702db0bb6338d",
            "396497bba79948e486091c32732bb855",
            "9d703ee9d8a64eab81404c40871da5ed",
            "2a8add334df84959b3ab997113d816ac",
            "3d88e98b9b42475ebaa54713934aa249",
            "116a3524310c4de284faa5eee253b0fb",
            "0ee3f98916e94fd1927a2dc5daa9dc0d",
            "4a61a205c7664b8c83cc374851cbef93",
            "19de77e358cd45aa8ab9940a51767641",
            "5d18f352624d47fdaeb34717d3bb46d0",
            "e95f62c02d04492bb1455692692c274c",
            "4cb9da037aab446e97daff047e8d6f3d",
            "9cdff7bfacf74ed3ab5458b0fb518d2d",
            "9df2b468f92249fd869e48f6863ccfa6",
            "19f485a19f4f4aa6b714168c127b233a",
            "fd63b0957082447dbfb87ee136e8d564"
          ]
        },
        "id": "CyCUCmjDMwWo",
        "outputId": "216ac92f-d840-47bb-eb6b-cb3a521119de"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/1.34k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "956644f5239d44b48a10f5e42a4f8941"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/12.5k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "123ad89e740b46caabe6279d34a6ca05"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/342 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1f13b8c7812b415abd6b9716679ceefb"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/543 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b52dec68ff114ef3ba28e57b587b9066"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/4.63k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f2dcef01d69a4c97b67ee8d7cfeada67"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/608M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5c2717e2f7f84a648f27def1c7f63a2b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/209 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "2a98d1a08b924ef398fe82d96f29f6b9"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/209 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "db47a206a3c24e18bdb6800bbf455028"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/572 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "34f86b5f697c41f5b70a7a21c7fb8d93"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/246M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a19e2d3974614f3f905be907c7931e2e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/525k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8b72dd8c43ba4433bb80b9ad298339cf"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/472 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1dc4087a56844434937588aa89014ab5"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/788 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e78e24476c524a47bb0e869f5d771c5a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/1.06M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ca03f96682974a50bac543ce0520d555"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/772 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "80a167f492cf44f49a5452b2454adf5d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/1.72G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "98d2ae7a8ad24da5aee0fdec1cb00c19"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/71.2k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "38c9b43064e44654abf5158bdc894dbd"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/550 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4e8ccb0621f64300aaf4d2e93d4dd589"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading:   0%|          | 0.00/167M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "116a3524310c4de284faa5eee253b0fb"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "from io import BytesIO\n",
        "\n",
        "def image_grid(imgs, rows, cols):\n",
        "    assert len(imgs) == rows*cols\n",
        "\n",
        "    w, h = imgs[0].size\n",
        "    grid = PIL.Image.new('RGB', size=(cols*w, rows*h))\n",
        "    grid_w, grid_h = grid.size\n",
        "    \n",
        "    for i, img in enumerate(imgs):\n",
        "        grid.paste(img, box=(i%cols*w, i//cols*h))\n",
        "    return grid\n"
      ],
      "metadata": {
        "id": "YunYD48sM42A"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from torch import autocast\n",
        "def inpaint(p, init_image, mask_image=None, strength=0.75, guidance_scale=7.5, generator=None, num_samples=1, n_iter=1):\n",
        "    all_images = []\n",
        "    for _ in range(n_iter):\n",
        "        with autocast(\"cuda\"):\n",
        "            images = pipe(\n",
        "                prompt=[p] * num_samples,\n",
        "                init_image=init_image,\n",
        "                mask_image=mask_image,\n",
        "                strength=strength,\n",
        "                guidance_scale=guidance_scale,\n",
        "                generator=generator,\n",
        "            )[\"sample\"]\n",
        "        all_images.extend(images)\n",
        "    return all_images"
      ],
      "metadata": {
        "id": "tb6jp0DyNJ7k"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#for seed\n",
        "import random\n",
        "\n",
        "def get_stable_diffusion_images(init_image, question, prompt):\n",
        "  #prompt = \"a cat sitting on bench\"\n",
        "  strength= .75\n",
        "  guidance_scale=8.5\n",
        "  num_samples = 4\n",
        "  n_iter = 1\n",
        "\n",
        "  #resize to 512\n",
        "  init_image = init_image.resize((512, 512))\n",
        "  #get mask\n",
        "  coords, img = get_ofa_visual_grounding(init_image, question)  #pil image as input\n",
        "  mask_image = create_mask(coords, img)\n",
        "\t\n",
        "  generator = torch.Generator(device=\"cuda\").manual_seed(random.randint(0,10000)) # change the seed to get different results\n",
        "  print(f\"generator is type:{type(generator)}, value:{generator}\")\n",
        "  all_images = inpaint(prompt, init_image, mask_image, strength=strength, guidance_scale=guidance_scale, generator=generator, num_samples=num_samples, n_iter=n_iter)\n",
        "\n",
        "  return all_images\n",
        "\n",
        "#some sample images\n",
        "img_url1 = \"https://drive.google.com/uc?export=download&id=1wCOSJDajr7As6mEvAH5Ze1W9qDQCABpd\"\n",
        "img_url2 = \"https://drive.google.com/uc?export=download&id=1tFyeX0M7-yKpk_79bkNYSZd9KE0IJUUN\"\n",
        "img_url3 = \"https://drive.google.com/uc?export=download&id=1cJl8PEOqKsYqAlDQovSjdlbbR_nClGTu\"\n",
        "img_url4 = \"https://drive.google.com/uc?export=download&id=1OvMNZGQ2lOC-6XtvimS0iwbBihOkFx6T\"\n",
        "\n",
        "#for getting sample images\n",
        "def download_image(url):\n",
        "    response = requests.get(url)\n",
        "    return PIL.Image.open(BytesIO(response.content)).convert(\"RGB\")\n",
        "\n",
        "download_image(img_url1).resize((512, 512)).save('./dog.jpg')\n",
        "download_image(img_url2).resize((512, 512)).save('./photobomb1.jpg')\n",
        "download_image(img_url3).resize((512, 512)).save('./photobomb2.jpg')\n",
        "download_image(img_url4).resize((512, 512)).save('./photobomb3.jpg')"
      ],
      "metadata": {
        "id": "rw34X7Y_5_f6"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#sample\n",
        "PIL.Image.open('./photobomb3.jpg')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 529
        },
        "id": "jN4aMEBDspYj",
        "outputId": "3e3be08b-1d62-476f-d101-c89982bf1075"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=512x512 at 0x7F865D9B3F50>"
            ],
            "image/png": "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\n"
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Building Gradio interface "
      ],
      "metadata": {
        "id": "D0S4uf101RoK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pip install -q gradio"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wgkBJ9lg1s0u",
        "outputId": "3d105f1c-f846-4191-8921-77ee697f0c37"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[K     |████████████████████████████████| 6.1 MB 4.0 MB/s \n",
            "\u001b[K     |████████████████████████████████| 112 kB 66.6 MB/s \n",
            "\u001b[K     |████████████████████████████████| 54 kB 2.9 MB/s \n",
            "\u001b[K     |████████████████████████████████| 84 kB 3.0 MB/s \n",
            "\u001b[K     |████████████████████████████████| 212 kB 52.7 MB/s \n",
            "\u001b[K     |████████████████████████████████| 84 kB 3.0 MB/s \n",
            "\u001b[K     |████████████████████████████████| 270 kB 61.3 MB/s \n",
            "\u001b[K     |████████████████████████████████| 57 kB 4.6 MB/s \n",
            "\u001b[K     |████████████████████████████████| 55 kB 2.9 MB/s \n",
            "\u001b[K     |████████████████████████████████| 2.3 MB 44.9 MB/s \n",
            "\u001b[K     |████████████████████████████████| 63 kB 1.7 MB/s \n",
            "\u001b[K     |████████████████████████████████| 80 kB 6.9 MB/s \n",
            "\u001b[K     |████████████████████████████████| 68 kB 6.3 MB/s \n",
            "\u001b[K     |████████████████████████████████| 43 kB 1.7 MB/s \n",
            "\u001b[K     |████████████████████████████████| 4.0 MB 55.2 MB/s \n",
            "\u001b[K     |████████████████████████████████| 594 kB 52.8 MB/s \n",
            "\u001b[K     |████████████████████████████████| 856 kB 51.9 MB/s \n",
            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import gradio as gr\n",
        "import numpy as np\n",
        "import os"
      ],
      "metadata": {
        "id": "uuRceOicMwUM"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "demo = gr.Blocks()\n",
        "\n",
        "examples = [['./dog.jpg', 'Dog', 'Cat sitting on bench'], \n",
        "            ['./photobomb2.jpg', 'bride', 'a giraffe'],\n",
        "            ['./photobomb1.jpg', 'girl in blue dress', 'a man in blue shirt'],\n",
        "            ['./photobomb3.jpg', 'man in shorts', 'a tree']]\n",
        "\n",
        "    \n",
        "with demo:\n",
        "  gr.Markdown(\"<h1><center>Diffusing InPainting and Visual Grounding together</center></h1>\")\n",
        "  gr.Markdown(\n",
        "        \"\"\"<h3><center>Stable Diffusion - InPainting - OFA (ICML2022) Pipeline</center></h3>\"\"\"\n",
        "        )\n",
        "  with gr.Group():\n",
        "    with gr.Box():\n",
        "      with gr.Row().style(mobile_collapse=False, equal_height=True):\n",
        "        with gr.Column(variant = 'panel'):\n",
        "          in_image = gr.Image(type=\"pil\") #(type='filepath') #(visible=False) type='numpy'\n",
        "          in_txt_ofa_ques = gr.Textbox(label=\"Describe the region that you want to CHANGE in your picture? Take some help from the examples given.\")\n",
        "          in_txt_ofa_answr = gr.Textbox(label=\"Tell Stable Diffusion what you want instead - \")\n",
        "          b1 = gr.Button(\"Diffuse some Magic!\")\n",
        "\n",
        "        with gr.Column(variant = 'panel'):  \n",
        "          out_image = gr.Gallery(label='Diffused images').style(grid=[2,2], height=\"5\", container=True)\n",
        "          \n",
        "\n",
        "      ex = gr.Examples(examples=examples, fn=get_stable_diffusion_images, inputs=[in_image, in_txt_ofa_ques, in_txt_ofa_answr], outputs=out_image, cache_examples=False)\n",
        "      ex.dataset.headers = [\"\"]    \n",
        "        \n",
        "\n",
        "      b1.click(get_stable_diffusion_images,inputs=[in_image, in_txt_ofa_ques, in_txt_ofa_answr], outputs=out_image)\n",
        "  \n",
        "demo.launch(show_error=True, debug=True, height=1000) #(enable_queue=True,  show_error=True , debug=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "dc70cbb9b47b41e9a0c086a41d989e46",
            "d4bdb74de32b4a6481ddb2cb8479ced7",
            "851beaa6f0d143e190a5196f280fc93b",
            "f1bf25b7273947a682d79658e0f575e4",
            "95a556d4c5794f0e8c3b98e81ac0e657",
            "411a99664e09433c81459167c629b6fe",
            "5aa9cd40297649b5ad1651eed905d4d3",
            "88401a6b5deb48c9b2c48cfdbead8959",
            "9a25e3bdfc0e4c91980c69cfcb2481f6",
            "581cfb1cc0894413ab1d023d10dace5e",
            "1d77010c9b8248feafd83c70da088403"
          ]
        },
        "id": "Y8IYZcbz2T3w",
        "outputId": "2ab47e9f-9c84-465c-fc4e-3392d3b5c4ae"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
            "Running on public URL: https://12341.gradio.app\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting, check out Spaces: https://huggingface.co/spaces\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<div><iframe src=\"https://12341.gradio.app\" width=\"900\" height=\"1000\" allow=\"autoplay; camera; microphone;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/content/OFA/models/sequence_generator.py:698: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
            "  unfin_idx = bbsz_idx // beam_size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "generator is type:<class 'torch._C.Generator'>, value:<torch._C.Generator object at 0x7f8579dbf830>\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "0it [00:00, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "dc70cbb9b47b41e9a0c086a41d989e46"
            }
          },
          "metadata": {}
        }
      ]
    }
  ]
}