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"ERROR: 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", + "ibis-framework 7.1.0 requires pyarrow<15,>=2, but you have pyarrow 15.0.0 which is incompatible.\n" + ] + } + ], + "source": [ + "%%bash\n", + "pip install -qq -U text2text" + ] + }, + { + "cell_type": "code", + "source": [ + "# Initialize T2T Assistant\n", + "import text2text as t2t\n", + "asst = t2t.Assistant()" + ], + "metadata": { + "id": "NL3SY2o5gwNh", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "6b32987b83a64f088319941065a39029", + "0f826b95a81a45349eeb5c0346be1927", + "23ede490f6854b6abe1e124ff546fbfc", + "e3de3e547291499ea2914ff22e509eeb", + "9035befc3a03464a968df6a2ad92063d", + "803baefcc0ba4c879d7c91000898ddac", + "fa89a0f8a29844e0a80ca889c35282a3", + "d2e972ad9495435ea2afbcc043a633bc", + "f941667e84f4457183ddabc7a65c3890", + "08ba029b5916414a876b534da56a9719", + "3ab0b3e3aaed46c58043448ae22a9857", + "8accb610bfed451786e220181c0a11f6", + 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"718c78dbe13e4814bed793430c3ca4e1", + "ba0ed7f5ec61412089b30de0db528829", + "32b84b026a6143acaee0507c81d5be4a", + "bc1bdf2faef34bc783f85200864abb51", + "518e490366514f8ba0ca393c7c50654b", + "24c2433182ca4943847f0f8cae52fe0e", + "2a98a3232b0141489d7717d740faee58", + "0af4581942864f748a3e826a5abfedc5", + "52d4a369f77b4dbf8c7e1ed974601bb8", + "0e43a8c9ade0482381cc09803d48cfa7", + "68e3d1b22b1047ff9810084eba11d884", + "f27876e8a0d74590af2f1c7512608c13", + "62d9a41b6bfd4b5da29b947b99e3e56c", + "c8bbf7949a894fbe81452236b827173d", + "fefbacec78674290a3d65cd5fb97c841", + "2c68cd1a8ef741a38343a63fceb8e887", + "17fa2b9d8fe14379adb88379d2228b3b", + "b695df5fa2ba4d86a56e08d1aeb03574", + "87dc45ccc0e7418da51a7eab34a18ad1", + "6696f75eac184fc9b266f798c50861b8", + "cd41a01c546848dca8e15030151a1378", + "34eff7567376439e9ad5dccfa07eaf2f", + "59993fa8829d44b5ae8e61d14698fb93", + "70849263ff8646a9a9e714e1938532f5", + "8f85f8b8ec9244559460c177e9d0b576", + "66d9f14db3b7489fa2715f2456828f48", + "6cb589e6c4564cd0b0ca29e08a5126df", + "79fa0cd693654828a6585d6eb5241f47", + "b0d3c75852e445d9b6c559404de095e7", + "2ba95bb531a14ebbae9c19f04c155969", + "0ba85addde7d442c98c01f8d29b07aad", + "286790869a6a43bab8a9042ca3e2a98f", + "8613955d527b455b8894f454e7669eb1", + "4af672783aca42a9876d99369b3f818d", + "d146aec05ba140dba69f63b04894c652", + "774d15dae9ad480996c56bec31aec2b0", + "989685a7bb324eb29d03fa03f713827c", + "5141346356674ea284308ad7e7a26a79", + "45538aa4170e4dc382363d38086897c7", + "29d7b66657ed4126bc5775a3082d40c2", + "892b5173deec40cfb38a02bdfb512eb0", + "4bc5aab7b7b4485f9e364015d70702cf", + "461494095c5544968495957944a6c547", + "76dd51550928494385163adfc1b1a467", + "26b6ee2526b345a8a532819b5d669859", + "114fef428ec7430393d2a75c5460eb55" + ] + }, + "outputId": "f09008ee-817e-4566-831e-b269e433d2a6" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Better speed can be achieved with apex installed.\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Fetching 267 files: 0%| | 0/267 [00:00\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_tokens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m 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Make a list of things to be grateful for.\\n2. Go outside and take a walk in nature.\\n3. Practice mindfulness meditation.\\n4. Connect with a loved one or friend.\\n5. Do something kind for someone else.\\n6. Engage in a creative activity like drawing or writing.\\n7. Read an uplifting book or listen to motivational podcasts.'}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 12\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"content\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/text2text/assistant.py\u001b[0m in \u001b[0;36mchat_completion\u001b[0;34m(self, messages, stream, **kwargs)\u001b[0m\n\u001b[1;32m 90\u001b[0m \u001b[0mattention_mask\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mones_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput_ids\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m results = model.generate(\n\u001b[0m\u001b[1;32m 93\u001b[0m \u001b[0minput_ids\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minput_ids\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 94\u001b[0m \u001b[0mattention_mask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mattention_mask\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\u001b[0m in \u001b[0;36mdecorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 113\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 114\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mctx_factory\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 115\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 116\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 117\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self, inputs, generation_config, logits_processor, stopping_criteria, prefix_allowed_tokens_fn, synced_gpus, assistant_model, streamer, negative_prompt_ids, negative_prompt_attention_mask, **kwargs)\u001b[0m\n\u001b[1;32m 1523\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1524\u001b[0m \u001b[0;31m# 13. run sample\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1525\u001b[0;31m return self.sample(\n\u001b[0m\u001b[1;32m 1526\u001b[0m \u001b[0minput_ids\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1527\u001b[0m \u001b[0mlogits_processor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprepared_logits_processor\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py\u001b[0m in \u001b[0;36msample\u001b[0;34m(self, input_ids, logits_processor, stopping_criteria, logits_warper, max_length, pad_token_id, eos_token_id, output_attentions, output_hidden_states, output_scores, return_dict_in_generate, synced_gpus, streamer, **model_kwargs)\u001b[0m\n\u001b[1;32m 2620\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2621\u001b[0m \u001b[0;31m# forward pass to get next token\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2622\u001b[0;31m outputs = self(\n\u001b[0m\u001b[1;32m 2623\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mmodel_inputs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2624\u001b[0m \u001b[0mreturn_dict\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1516\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compiled_call_impl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m 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stride_am, stride_ak, stride_bn, stride_bk, stride_cm, stride_cn, stride_scales_g, stride_scales_n, stride_zeros_g, stride_zeros_n, groupsize, NO_GROUPS, BLOCK_SIZE_M, BLOCK_SIZE_N, BLOCK_SIZE_K, GROUP_SIZE_M, grid, num_warps, num_stages, extern_libs, stream, warmup, device, device_type)\u001b[0m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Running conversation\n", + "messages = []\n", + "while True:\n", + " user_input = input(\"User: \")\n", + " print()\n", + " messages.append({\"role\": \"user\", \"content\": user_input})\n", + " while asst.chat_completion_tokens(messages) > 32000-512:\n", + " messages = messages[1:]\n", + " print(\"Assistant: \")\n", + " result = asst.chat_completion(messages, stream=True)\n", + " messages.append(result)\n", + " print()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 605 + }, + "id": "e_6wkzWz9kiA", + "outputId": "37664b06-8d3a-4736-cc1d-a5f94c6144e3" }, - "execution_count": null, - "outputs": [] + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "User: what is pdt vs pst\n", + "\n", + "Assistant: \n", + "PDT and PST are both terms\n", + "\n", + "User: terms of what\n", + "\n", + "Assistant: \n", + "PDT and PST are both terms\n", + "\n", + "User: what is the difference\n", + "\n", + "Assistant: \n", + "I apologize for the confusion. P\n", + "\n" + ] + }, + { + "output_type": "error", + "ename": "KeyboardInterrupt", + "evalue": "Interrupted by user", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mmessages\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0muser_input\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"User: \"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mmessages\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"role\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"user\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"content\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0muser_input\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36mraw_input\u001b[0;34m(self, prompt)\u001b[0m\n\u001b[1;32m 849\u001b[0m \u001b[0;34m\"raw_input was called, but this frontend does not support input requests.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 850\u001b[0m )\n\u001b[0;32m--> 851\u001b[0;31m return self._input_request(str(prompt),\n\u001b[0m\u001b[1;32m 852\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_ident\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 853\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_header\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36m_input_request\u001b[0;34m(self, prompt, ident, parent, password)\u001b[0m\n\u001b[1;32m 893\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 894\u001b[0m \u001b[0;31m# re-raise KeyboardInterrupt, to truncate traceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 895\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Interrupted by user\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 896\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 897\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Invalid Message:\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexc_info\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: Interrupted by user" + ] + } + ] } ] } \ No newline at end of file diff --git a/setup.py b/setup.py index dc6a8c9..938795d 100755 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ setuptools.setup( name="text2text", - version="1.4.3", + version="1.4.4", author="artitw", author_email="artitw@gmail.com", description="Text2Text: Crosslingual NLP/G toolkit", diff --git a/text2text/assistant.py b/text2text/assistant.py index 90b9773..ca644f1 100644 --- a/text2text/assistant.py +++ b/text2text/assistant.py @@ -105,14 +105,14 @@ def chat_completion(self, messages=[{"role": "user", "content": "hello"}], strea output_string = tokenizer.batch_decode(**results)[0] input_string = tokenizer.apply_chat_template(messages, tokenize=False) - messages.append({ + assistant_output = { "role": "assistant", "content": _clean_output(input_string, output_string) - }) - cache_string = tokenizer.apply_chat_template(messages, tokenize=False) + } + cache_string = tokenizer.apply_chat_template(messages+[assistant_output], tokenize=False) self.__class__.cache[cache_string] = results["past_key_values"] - return messages[-1] + return assistant_output def transform(self, input_lines, src_lang='en', **kwargs): return self.chat_completion([{"role": "user", "content": input_lines}])["content"]