Chatbot _Work-Flow _Functions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "06d5ec9b",
   "metadata": {},
   "source": [
    "# Installing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "2807bcce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting python-gitNote: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "  Downloading python_git-2018.2.1-py3-none-any.whl (10 kB)\n",
      "Collecting send2trash\n",
      "  Using cached Send2Trash-1.8.0-py3-none-any.whl (18 kB)\n",
      "Installing collected packages: send2trash, python-git\n",
      "Successfully installed python-git-2018.2.1 send2trash-1.8.0\n"
     ]
    }
   ],
   "source": [
    "pip install python-git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5d3148c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting spacy==2.3.5\n",
      "  Downloading spacy-2.3.5-cp38-cp38-win_amd64.whl (9.7 MB)\n",
      "Collecting plac<1.2.0,>=0.9.6\n",
      "  Downloading plac-1.1.3-py2.py3-none-any.whl (20 kB)\n",
      "Requirement already satisfied: setuptools in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (58.3.0)\n",
      "Requirement already satisfied: requests<3.0.0,>=2.13.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (2.26.0)\n",
      "Collecting catalogue<1.1.0,>=0.0.7\n",
      "  Downloading catalogue-1.0.0-py2.py3-none-any.whl (7.7 kB)\n",
      "Note: you may need to restart the kernel to use updated packages.Requirement already satisfied: wasabi<1.1.0,>=0.4.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (0.8.2)\n",
      "Requirement already satisfied: preshed<3.1.0,>=3.0.2 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (3.0.6)\n",
      "Requirement already satisfied: cymem<2.1.0,>=2.0.2 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (2.0.6)\n",
      "Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (1.0.6)\n",
      "Requirement already satisfied: numpy>=1.15.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (1.21.4)\n",
      "Collecting srsly<1.1.0,>=1.0.2\n",
      "  Downloading srsly-1.0.5-cp38-cp38-win_amd64.whl (178 kB)\n",
      "Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (4.62.3)\n",
      "Requirement already satisfied: blis<0.8.0,>=0.4.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy==2.3.5) (0.7.5)\n",
      "Collecting thinc<7.5.0,>=7.4.1\n",
      "  Downloading thinc-7.4.5-cp38-cp38-win_amd64.whl (910 kB)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy==2.3.5) (2021.10.8)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy==2.3.5) (2.0.7)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy==2.3.5) (1.26.7)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy==2.3.5) (3.3)\n",
      "Requirement already satisfied: colorama in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from tqdm<5.0.0,>=4.38.0->spacy==2.3.5) (0.4.4)\n",
      "Installing collected packages: srsly, plac, catalogue, thinc, spacy\n",
      "  Attempting uninstall: srsly\n",
      "    Found existing installation: srsly 2.4.2\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\\\\Users\\\\Garlapati.Varun\\\\chatbot\\\\Lib\\\\site-packages\\\\~rsly\\\\msgpack\\\\_packer.cp38-win_amd64.pyd'\n",
      "Check the permissions.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Uninstalling srsly-2.4.2:\n",
      "      Successfully uninstalled srsly-2.4.2\n"
     ]
    }
   ],
   "source": [
    "pip install spacy==2.3.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "26d0beda",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting https://github.com/MartinoMensio/spacy-universal-sentence-encoder-tfhub/releases/download/en_use_md-0.2.0/en_use_md-0.2.0.tar.gzNote: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  ERROR: Error [WinError 2] The system cannot find the file specified while executing command git version\n",
      "ERROR: Cannot find command 'git' - do you have 'git' installed and in your PATH?\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "  Downloading https://github.com/MartinoMensio/spacy-universal-sentence-encoder-tfhub/releases/download/en_use_md-0.2.0/en_use_md-0.2.0.tar.gz (12.0 MB)\n",
      "  Preparing metadata (setup.py): started\n",
      "  Preparing metadata (setup.py): finished with status 'done'\n",
      "Collecting universal_sentence_encoder@ git+ssh://git@github.com/MartinoMensio/spacy-universal-sentence-embedding-tfhub\n",
      "  Cloning ssh://****@github.com/MartinoMensio/spacy-universal-sentence-embedding-tfhub to c:\\users\\garlapati.varun\\appdata\\local\\temp\\pip-install-65jfz4fm\\universal-sentence-encoder_317e28a8306d45e7b4b11cb71771ecac\n"
     ]
    }
   ],
   "source": [
    "pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder-tfhub/releases/download/en_use_md-0.2.0/en_use_md-0.2.0.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "ebb73afa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting spacy\n",
      "  Downloading spacy-3.2.0-cp38-cp38-win_amd64.whl (12.1 MB)\n",
      "Requirement already satisfied: numpy>=1.15.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy) (1.21.4)\n",
      "Collecting pydantic!=1.8,!=1.8.1,<1.9.0,>=1.7.4\n",
      "  Using cached pydantic-1.8.2-cp38-cp38-win_amd64.whl (2.0 MB)\n",
      "Collecting srsly<3.0.0,>=2.4.1\n",
      "  Using cached srsly-2.4.2-cp38-cp38-win_amd64.whl (452 kB)\n",
      "Collecting spacy-legacy<3.1.0,>=3.0.8\n",
      "  Using cached spacy_legacy-3.0.8-py2.py3-none-any.whl (14 kB)\n",
      "Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy) (4.62.3)\n",
      "Collecting pathy>=0.3.5\n",
      "  Using cached pathy-0.6.1-py3-none-any.whl (42 kB)\n",
      "Collecting cymem<2.1.0,>=2.0.2\n",
      "  Using cached cymem-2.0.6-cp38-cp38-win_amd64.whl (36 kB)\n",
      "Requirement already satisfied: setuptools in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy) (58.3.0)\n",
      "Collecting langcodes<4.0.0,>=3.2.0\n",
      "  Downloading langcodes-3.2.1.tar.gz (173 kB)\n",
      "  Preparing metadata (setup.py): started\n",
      "  Preparing metadata (setup.py): finished with status 'done'\n",
      "Collecting blis<0.8.0,>=0.4.0\n",
      "  Using cached blis-0.7.5-cp38-cp38-win_amd64.whl (6.6 MB)\n",
      "Collecting thinc<8.1.0,>=8.0.12\n",
      "  Downloading thinc-8.0.13-cp38-cp38-win_amd64.whl (1.0 MB)\n",
      "Collecting murmurhash<1.1.0,>=0.28.0\n",
      "  Using cached murmurhash-1.0.6-cp38-cp38-win_amd64.whl (21 kB)\n",
      "Collecting wasabi<1.1.0,>=0.8.1\n",
      "  Using cached wasabi-0.8.2-py3-none-any.whl (23 kB)\n",
      "Collecting typer<0.5.0,>=0.3.0\n",
      "  Using cached typer-0.4.0-py3-none-any.whl (27 kB)\n",
      "Collecting spacy-loggers<2.0.0,>=1.0.0\n",
      "  Downloading spacy_loggers-1.0.1-py3-none-any.whl (7.0 kB)\n",
      "Collecting jinja2\n",
      "  Downloading Jinja2-3.0.3-py3-none-any.whl (133 kB)\n",
      "Collecting preshed<3.1.0,>=3.0.2\n",
      "  Using cached preshed-3.0.6-cp38-cp38-win_amd64.whl (113 kB)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy) (21.2)\n",
      "Requirement already satisfied: requests<3.0.0,>=2.13.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy) (2.26.0)\n",
      "Collecting catalogue<2.1.0,>=2.0.6\n",
      "  Using cached catalogue-2.0.6-py3-none-any.whl (17 kB)\n",
      "Requirement already satisfied: pyparsing<3,>=2.0.2 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from packaging>=20.0->spacy) (2.4.7)\n",
      "Collecting smart-open<6.0.0,>=5.0.0\n",
      "  Using cached smart_open-5.2.1-py3-none-any.whl (58 kB)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from pydantic!=1.8,!=1.8.1,<1.9.0,>=1.7.4->spacy) (3.10.0.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy) (3.3)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy) (1.26.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy) (2021.10.8)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests<3.0.0,>=2.13.0->spacy) (2.0.7)\n",
      "Requirement already satisfied: colorama in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from tqdm<5.0.0,>=4.38.0->spacy) (0.4.4)\n",
      "Requirement already satisfied: click<9.0.0,>=7.1.1 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from typer<0.5.0,>=0.3.0->spacy) (8.0.3)\n",
      "Collecting MarkupSafe>=2.0\n",
      "  Using cached MarkupSafe-2.0.1-cp38-cp38-win_amd64.whl (14 kB)\n",
      "Building wheels for collected packages: langcodes\n",
      "  Building wheel for langcodes (setup.py): started\n",
      "  Building wheel for langcodes (setup.py): finished with status 'done'\n",
      "  Created wheel for langcodes: filename=langcodes-3.2.1-py3-none-any.whl size=169396 sha256=7fafe664145c3a0e4847b1a5fafb1689e836716868d67e52d1312466a5dbaee2\n",
      "  Stored in directory: c:\\users\\garlapati.varun\\appdata\\local\\pip\\cache\\wheels\\aa\\5b\\45\\2e2ebdd7b888ba82dac447122f8ea0f4a2404910516d486679\n",
      "Successfully built langcodes\n",
      "Installing collected packages: murmurhash, cymem, catalogue, wasabi, typer, srsly, smart-open, pydantic, preshed, MarkupSafe, blis, thinc, spacy-loggers, spacy-legacy, pathy, langcodes, jinja2, spacy\n",
      "Successfully installed MarkupSafe-2.0.1 blis-0.7.5 catalogue-2.0.6 cymem-2.0.6 jinja2-3.0.3 langcodes-3.2.1 murmurhash-1.0.6 pathy-0.6.1 preshed-3.0.6 pydantic-1.8.2 smart-open-5.2.1 spacy-3.2.0 spacy-legacy-3.0.8 spacy-loggers-1.0.1 srsly-2.4.2 thinc-8.0.13 typer-0.4.0 wasabi-0.8.2\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install spacy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "884de730",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pyresparser\n",
      "  Using cached pyresparser-1.0.6-py3-none-any.whl (4.2 MB)\n",
      "Collecting jsonschema>=3.0.1\n",
      "  Using cached jsonschema-4.2.1-py3-none-any.whl (69 kB)\n",
      "Requirement already satisfied: pandas>=0.24.2 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from pyresparser) (1.3.4)\n",
      "Requirement already satisfied: blis>=0.2.4 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from pyresparser) (0.7.5)\n",
      "Collecting pyrsistent>=0.15.2\n",
      "  Using cached pyrsistent-0.18.0-cp38-cp38-win_amd64.whl (62 kB)\n",
      "Requirement already satisfied: urllib3>=1.25.3 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from pyresparser) (1.26.7)\n",
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      "Collecting sortedcontainers>=2.1.0\n",
      "  Using cached sortedcontainers-2.4.0-py2.py3-none-any.whl (29 kB)\n",
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      "Collecting pycryptodome>=3.8.2\n",
      "  Using cached pycryptodome-3.11.0-cp35-abi3-win_amd64.whl (1.8 MB)\n",
      "Collecting chardet>=3.0.4\n",
      "  Using cached chardet-4.0.0-py2.py3-none-any.whl (178 kB)\n",
      "Collecting pdfminer.six>=20181108\n",
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      "Collecting docx2txt>=0.7\n",
      "  Using cached docx2txt-0.8.tar.gz (2.8 kB)\n",
      "  Preparing metadata (setup.py): started\n",
      "  Preparing metadata (setup.py): finished with status 'done'\n",
      "Requirement already satisfied: requests>=2.22.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from pyresparser) (2.26.0)\n",
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      "Collecting attrs>=19.1.0\n",
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      "Collecting importlib-resources>=1.4.0\n",
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      "Collecting cryptography\n",
      "  Downloading cryptography-35.0.0-cp36-abi3-win_amd64.whl (2.1 MB)\n",
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      "Collecting cffi>=1.12\n",
      "  Using cached cffi-1.15.0-cp38-cp38-win_amd64.whl (179 kB)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from jinja2->spacy>=2.1.4->pyresparser) (2.0.1)\n",
      "Collecting pycparser\n",
      "  Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)\n",
      "Building wheels for collected packages: docx2txt\n",
      "  Building wheel for docx2txt (setup.py): started\n",
      "  Building wheel for docx2txt (setup.py): finished with status 'done'\n",
      "  Created wheel for docx2txt: filename=docx2txt-0.8-py3-none-any.whl size=3980 sha256=53208570c04a3c092265485723c2c07e3cf0a37dc3d45244d6e4f26a2c2c949b\n",
      "  Stored in directory: c:\\users\\garlapati.varun\\appdata\\local\\pip\\cache\\wheels\\55\\f0\\2c\\81637d42670985178b77df6d41b9b6c6dc18c94818447414b9\n",
      "Successfully built docx2txt\n",
      "Installing collected packages: pycparser, zipp, cffi, pyrsistent, importlib-resources, cryptography, chardet, attrs, sortedcontainers, pycryptodome, pdfminer.six, jsonschema, docx2txt, pyresparser\n",
      "Successfully installed attrs-21.2.0 cffi-1.15.0 chardet-4.0.0 cryptography-35.0.0 docx2txt-0.8 importlib-resources-5.4.0 jsonschema-4.2.1 pdfminer.six-20211012 pycparser-2.21 pycryptodome-3.11.0 pyresparser-1.0.6 pyrsistent-0.18.0 sortedcontainers-2.4.0 zipp-3.6.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pyresparser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "128ef6cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting vaderSentiment\n",
      "  Downloading vaderSentiment-3.3.2-py2.py3-none-any.whl (125 kB)\n",
      "Requirement already satisfied: requests in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from vaderSentiment) (2.26.0)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests->vaderSentiment) (2021.10.8)\n",
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      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests->vaderSentiment) (1.26.7)\n",
      "Installing collected packages: vaderSentiment\n",
      "Successfully installed vaderSentiment-3.3.2\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install vaderSentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5013640a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting spacy-universal-sentence-encoder\n",
      "  Downloading spacy_universal_sentence_encoder-0.4.3.tar.gz (13 kB)\n",
      "  Preparing metadata (setup.py): started\n",
      "  Preparing metadata (setup.py): finished with status 'done'\n",
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      "Collecting tensorflow-hub\n",
      "  Downloading tensorflow_hub-0.12.0-py2.py3-none-any.whl (108 kB)\n",
      "Requirement already satisfied: thinc<8.1.0,>=8.0.12 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from spacy<4.0.0,>=3.0.0->spacy-universal-sentence-encoder) (8.0.13)\n",
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      "Building wheels for collected packages: spacy-universal-sentence-encoder\n",
      "  Building wheel for spacy-universal-sentence-encoder (setup.py): started\n",
      "  Building wheel for spacy-universal-sentence-encoder (setup.py): finished with status 'done'\n",
      "  Created wheel for spacy-universal-sentence-encoder: filename=spacy_universal_sentence_encoder-0.4.3-py3-none-any.whl size=14763 sha256=24cbd9d20c3f82a51225d537a530b15cfab88574bc6bda8b6a5226ec80f9b7ad\n",
      "  Stored in directory: c:\\users\\garlapati.varun\\appdata\\local\\pip\\cache\\wheels\\46\\47\\ed\\4dc63e35260b4c75fea227ab0bcd448d55378b5da1de8c3394\n",
      "Successfully built spacy-universal-sentence-encoder\n",
      "Installing collected packages: tensorflow-hub, spacy-universal-sentence-encoder\n",
      "Successfully installed spacy-universal-sentence-encoder-0.4.3 tensorflow-hub-0.12.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install spacy-universal-sentence-encoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c1009b1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting sentence_transformers\n",
      "  Using cached sentence_transformers-2.1.0-py3-none-any.whl\n",
      "Requirement already satisfied: nltk in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from sentence_transformers) (3.6.5)\n",
      "Collecting torch>=1.6.0\n",
      "  Using cached torch-1.10.0-cp38-cp38-win_amd64.whl (226.6 MB)\n",
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      "Collecting sentencepiece\n",
      "  Using cached sentencepiece-0.1.96-cp38-cp38-win_amd64.whl (1.1 MB)\n",
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      "Collecting torchvision\n",
      "  Using cached torchvision-0.11.1-cp38-cp38-win_amd64.whl (984 kB)\n",
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      "Requirement already satisfied: requests in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (2.26.0)\n",
      "Requirement already satisfied: colorama in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from tqdm->sentence_transformers) (0.4.4)\n",
      "Requirement already satisfied: joblib in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from nltk->sentence_transformers) (1.1.0)\n",
      "Requirement already satisfied: click in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from nltk->sentence_transformers) (8.0.3)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from scikit-learn->sentence_transformers) (3.0.0)\n",
      "Requirement already satisfied: pillow!=8.3.0,>=5.3.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from torchvision->sentence_transformers) (8.4.0)\n",
      "Requirement already satisfied: pyparsing<3,>=2.0.2 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from packaging>=20.0->transformers<5.0.0,>=4.6.0->sentence_transformers) (2.4.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests->transformers<5.0.0,>=4.6.0->sentence_transformers) (2021.10.8)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests->transformers<5.0.0,>=4.6.0->sentence_transformers) (1.26.7)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests->transformers<5.0.0,>=4.6.0->sentence_transformers) (3.3)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from requests->transformers<5.0.0,>=4.6.0->sentence_transformers) (2.0.7)\n",
      "Requirement already satisfied: six in c:\\users\\garlapati.varun\\chatbot\\lib\\site-packages (from sacremoses->transformers<5.0.0,>=4.6.0->sentence_transformers) (1.16.0)\n",
      "Installing collected packages: torch, torchvision, sentencepiece, sentence-transformers\n",
      "Successfully installed sentence-transformers-2.1.0 sentencepiece-0.1.96 torch-1.10.0 torchvision-0.11.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install sentence_transformers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3a3371e",
   "metadata": {},
   "source": [
    "# Importing Modules from Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5e52985b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\Garlapati.Varun\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\Garlapati.Varun\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\Garlapati.Varun\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     C:\\Users\\Garlapati.Varun\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import io\n",
    "import matplotlib.pyplot as plt\n",
    "import nltk\n",
    "nltk.download('stopwords')\n",
    "nltk.download('punkt')\n",
    "nltk.download('wordnet')\n",
    "nltk.download('averaged_perceptron_tagger')\n",
    "import re\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer,TfidfTransformer\n",
    "import sklearn.feature_extraction.text as text\n",
    "from sklearn import model_selection, preprocessing, linear_model, naive_bayes, metrics, svm\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.feature_extraction.text import CountVectorizer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06d451e8",
   "metadata": {},
   "source": [
    "# SVM CATEGORY CLASSIFIER"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6aa03f0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Classify_problem(msg):\n",
    "    # importing libraries\n",
    "    import pandas as pd\n",
    "    import numpy as np\n",
    "    from sklearn import svm\n",
    "    from sklearn.feature_extraction.text import TfidfTransformer,TfidfVectorizer, CountVectorizer\n",
    "    from nltk.corpus import stopwords\n",
    "    from nltk.tokenize import word_tokenize\n",
    "    from nltk.stem import WordNetLemmatizer\n",
    "    from nltk import FreqDist, pos_tag\n",
    "    from nltk.corpus import wordnet\n",
    "    import string\n",
    "    import re\n",
    "    import pickle\n",
    "    # text preprocessing\n",
    "    tag_dict = {\"J\": wordnet.ADJ,\"N\": wordnet.NOUN,\"V\": wordnet.VERB,\"R\": wordnet.ADV}\n",
    "    text = msg.replace('\\d+', '')\n",
    "    text = text.replace('[^\\w\\s]', '')\n",
    "    text = text.lower()\n",
    "    lemmatizer = WordNetLemmatizer()\n",
    "    text=[lemmatizer.lemmatize(item,tag_dict.get(pos_tag([item])[0][1][0].upper(),wordnet.NOUN)) for item in word_tokenize(text)]\n",
    "    text = ' '.join(text)\n",
    "\n",
    "  # pickle files\n",
    "    Count_Vect_ = pickle.load(open(\"count_vect_svm.pkl\", \"rb\"))\n",
    "    Transformer_ = pickle.load(open(\"transformer_svm.pkl\", \"rb\"))\n",
    "    SVM_tf = pickle.load(open(\"model_svm.pkl\", \"rb\"))\n",
    "\n",
    "    \n",
    "#   Predict Probabilities With tfidf-SVM,RF\n",
    "    counts = Count_Vect_.transform([text])\n",
    "    counts = Transformer_.transform(counts)\n",
    "    tfidf_svm= SVM_tf.predict_proba(counts)\n",
    "    cls7=['Anger Management' ,'Behavioral Change', 'Counseling Fundamentals',\n",
    "         'Depression' ,'Family Conflict' ,'Intimacy', 'LGBTQ',\n",
    "          'Marriage', 'Parenting', 'Relationship Dissolution', 'Relationships',\n",
    "        'Self-esteem' ,'Sleep Improvement' ,'Social Relationships' ,'Stress/Anxiety',\n",
    "         'Substance Abuse/Addiction' ,'Trauma/Grief/Loss', 'Workplace issues']\n",
    "    maxpos = tfidf_svm.argmax()\n",
    "    label=cls7[maxpos]\n",
    "    return label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "f570b4d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 21.7 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'Workplace issues'"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "Manas_chatbot(\"My boss always hates me\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a08b57e",
   "metadata": {},
   "source": [
    "# Sentiment Analysis using Vader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "3f209997",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def Vader_sentiment_scores(sentence):\n",
    "    from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "  \n",
    "    # Create a SentimentIntensityAnalyzer object.\n",
    "    sid_obj = SentimentIntensityAnalyzer()\n",
    "  \n",
    "    # polarity_scores method of SentimentIntensityAnalyzer\n",
    "    # oject gives a sentiment dictionary.\n",
    "    # which contains pos, neg, neu, and compound scores.\n",
    "    sentiment_dict = sid_obj.polarity_scores(sentence)\n",
    "    # decide sentiment as positive, negative and neutral\n",
    "    if sentiment_dict['compound'] > 0.2 :\n",
    "        return(\"Positive\")\n",
    "  \n",
    "    else :\n",
    "        return(\"Negative\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "676eb4d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 28.5 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'Negative'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "Vader_sentiment_scores(\"My boss always hates me\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "73f924ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import spacy\n",
    "# nlp = spacy.load('en_use_md-0.2.0')\n",
    "\n",
    "# search_doc = nlp(\"This was very strange argument between american and british person\")\n",
    "\n",
    "# main_doc = nlp(\"He was from Japan, but a true English gentleman in my eyes, and another one of the reasons as to why I liked going to school.\")\n",
    "\n",
    "# print(main_doc.similarity(search_doc))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b12864ac",
   "metadata": {},
   "source": [
    "# Sentence similarity using BERT embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d8b2ca9b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model-1\n"
     ]
    }
   ],
   "source": [
    "from sentence_transformers import SentenceTransformer\n",
    "print(\"model-1\")\n",
    "model1=SentenceTransformer('bert-base-nli-mean-tokens')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d1f0b1fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "def similarity_test(query):\n",
    "    import scipy\n",
    "    from sentence_transformers import SentenceTransformer\n",
    "    input_msg=[query]\n",
    "    model=SentenceTransformer('bert-base-nli-mean-tokens')\n",
    "    input_embeddings= model.encode(input_msg)\n",
    "    queries=['How can I control myself and my anger?',\n",
    "       'How do I not be angry all the time?',\n",
    "       'How can I control my temper?', 'Why do I get angry so easily?',\n",
    "       'How do I deal with my alcoholic boyfriend with a dark past?',\n",
    "       'My girlfriend always brings up past events and talks negatively about them',\n",
    "       'Why did my boyfriend hit himself in the face during an argument?',\n",
    "       'How can I just be happy and not mad all the time?',\n",
    "       'How can I be less angry?', 'I need help controlling my anger',\n",
    "       \"How do I deal with my son's violent thoughts and dreams?\",\n",
    "       \"How can I deal with the anger problems I've gained from my soon-to-be husband?\",\n",
    "       'How can I stop being so angry?', 'Why am I so mad?',\n",
    "       'How can I control myself and learn to let things go or communicate?',\n",
    "       'How can I be less confused about my feelings towards anything?',\n",
    "       'I need to know how to cope with misophonia before I go completely insane',\n",
    "       'i need answers to my angry, possessiveness, and urges',\n",
    "       'How can I control my anger?', 'How do I manage my anger?',\n",
    "       'Why am I constantly angry?',\n",
    "       'My husband and I canâ€™t talk to each other without arguing',\n",
    "       'Why do I get random spurts of anger over petty things?',\n",
    "       'I have anger issues. I am extremely explosive about the simplest things']\n",
    "    query_embeddings=model.encode(queries)\n",
    "    closest_n=1\n",
    "    dist_scores=[]\n",
    "    for query,query_embedding in zip(queries,query_embeddings):\n",
    "        distances=scipy.spatial.distance.cdist([query_embedding],input_embeddings,\"cosine\")[0]\n",
    "        score=(1-distances)\n",
    "        dist_scores.extend(score)\n",
    "    return max(dist_scores)\n",
    "#         if score >0.75:\n",
    "#             print(\"Matched strings :\",query)\n",
    "#     print(\"XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "51af4513",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max Scores [0.14089822060750334, 0.12155116672358479, 0.21725896156051272, 0.3775604259665062, 0.14220673823691632, 0.13601045159336167, 0.1968304479226619, 0.19880535096302454, 0.25381272950909284, 0.22642692507643392, 0.2651590120088514, 0.1796816294215594, 0.13498585127696505, 0.1842371808646699, 0.2511316485802002, 0.11762472848773298, 0.21483247103211944, 0.18037582137856367, 0.1459745082193552]\n",
      "Max score index 3\n"
     ]
    }
   ],
   "source": [
    "similarity_test(\"My boss hates me\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23983fa3",
   "metadata": {},
   "source": [
    "# Data Visualization of Counsel chat data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "afac63a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_excel(\"C:\\\\Users\\\\Garlapati.Varun\\\\Downloads\\\\Manas\\\\Answers.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8323a407",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   Unnamed: 0  questionID                                      questionTitle  \\\n",
       "0           0           0  Can I change my feeling of being worthless to ...   \n",
       "1           1           0  Can I change my feeling of being worthless to ...   \n",
       "2           2           0  Can I change my feeling of being worthless to ...   \n",
       "3           3           0  Can I change my feeling of being worthless to ...   \n",
       "4           4           0  Can I change my feeling of being worthless to ...   \n",
       "\n",
       "                                        questionText  \\\n",
       "0  I'm going through some things with my feelings...   \n",
       "1  I'm going through some things with my feelings...   \n",
       "2  I'm going through some things with my feelings...   \n",
       "3  I'm going through some things with my feelings...   \n",
       "4  I'm going through some things with my feelings...   \n",
       "\n",
       "                                        questionLink       topic  \\\n",
       "0  https://counselchat.com/questions/can-i-change...  depression   \n",
       "1  https://counselchat.com/questions/can-i-change...  depression   \n",
       "2  https://counselchat.com/questions/can-i-change...  depression   \n",
       "3  https://counselchat.com/questions/can-i-change...  depression   \n",
       "4  https://counselchat.com/questions/can-i-change...  depression   \n",
       "\n",
       "                                       therapistInfo  \\\n",
       "0  Sherry Katz, LCSWCouples and Family Therapist,...   \n",
       "1  Robin Landwehr, DBH, LPCC, NCCMental Health in...   \n",
       "2  Lee KingI use an integrative approach to treat...   \n",
       "3  Shauntai Davis-YearginPersonalized, private on...   \n",
       "4  Jordan WhiteLicensed Social Worker at Oak Root...   \n",
       "\n",
       "                                        therapistURL  \\\n",
       "0  https://counselchat.com/therapists/sherry-katz...   \n",
       "1  https://counselchat.com/therapists/robin-landw...   \n",
       "2        https://counselchat.com/therapists/lee-king   \n",
       "3  https://counselchat.com/therapists/shauntai-da...   \n",
       "4    https://counselchat.com/therapists/jordan-white   \n",
       "\n",
       "                                          answerText  upvotes  views  split  \n",
       "0  If everyone thinks you're worthless, then mayb...        1   2899  train  \n",
       "1  Hello, and thank you for your question and see...        1   3514  train  \n",
       "2  First thing I'd suggest is getting the sleep y...        0      5  train  \n",
       "3  Therapy is essential for those that are feelin...        0     31  train  \n",
       "4  I first want to let you know that you are not ...        0    620  train  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "6d5ca9f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = df[df['topic'] == 'depression']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "eeb3e1c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "130"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['questionTitle'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "525e3547",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "# Distribution of answers by topic\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "df.groupby(\"topic\").agg(\"count\")[\"questionID\"].sort_values(ascending=False).plot.bar(ax=ax)\n",
    "ax.set_title(\"Number of Responses by Topic\", fontsize=30)\n",
    "ax.set_xlabel(\"Topics\", fontsize=25)\n",
    "ax.set_ylabel(\"Number of Responses\", fontsize=25)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), fontsize=17)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "297ee92e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Number of questsions asked per topic\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "df.groupby([\"topic\", \"questionID\"]).agg(\"count\").reset_index().groupby(\"topic\").agg(\"count\")[\"questionID\"].sort_values(ascending=False).plot.bar(ax=ax)\n",
    "ax.set_title(\"Number of Questions by Topic\", fontsize=30)\n",
    "ax.set_ylabel(\"Number of Questions\", fontsize=25)\n",
    "ax.set_xlabel(\"Topic\", fontsize=25)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), fontsize=17)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "75df8bf2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Upvotes')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of response likes\n",
    "# Distribution of empathy in responses\n",
    "fig, ax = plt.subplots(figsize=(20,10))\n",
    "df.groupby([\"topic\", \"upvotes\"]).agg(\"count\").reset_index().groupby(\"topic\").agg(\"count\")[\"upvotes\"].sort_values(ascending=False).plot.bar(ax=ax)\n",
    "ax.set_xlabel(\"Topics\", fontsize=15)\n",
    "ax.set_ylabel(\"No of upvotes\", fontsize=15)\n",
    "ax.set_title(\"Distribution of Upvotes\", fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "a17b77c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of views')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,10))\n",
    "df.groupby([\"topic\", \"views\"]).agg(\"count\").reset_index().groupby(\"topic\").agg(\"count\")[\"views\"].sort_values(ascending=False).plot.bar(ax=ax)\n",
    "ax.set_xlabel(\"Topics\", fontsize=15)\n",
    "ax.set_ylabel(\"No of views\", fontsize=15)\n",
    "ax.set_title(\"Distribution of views\", fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3edb4163",
   "metadata": {},
   "outputs": [],
   "source": [
    "cls7=['Anger Management' ,'Behavioral Change', 'Counseling Fundamentals',\n",
    "         'Depression' ,'Family Conflict' ,'Intimacy', 'LGBTQ',\n",
    "          'Marriage', 'Parenting', 'Relationship Dissolution', 'Relationships',\n",
    "        'Self-esteem' ,'Sleep Improvement' ,'Social Relationships' ,'Stress/Anxiety',\n",
    "         'Substance Abuse/Addiction' ,'Trauma/Grief/Loss', 'Workplace issues']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "e47b1d82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['depression', 'anxiety', 'parenting', 'self-esteem',\n",
       "       'relationship-dissolution', 'workplace-relationships',\n",
       "       'spirituality', 'trauma', 'domestic-violence', 'anger-management',\n",
       "       'sleep-improvement', 'intimacy', 'grief-and-loss',\n",
       "       'substance-abuse', 'family-conflict', 'marriage',\n",
       "       'eating-disorders', 'relationships', 'lgbtq', 'behavioral-change',\n",
       "       'addiction', 'legal-regulatory', 'professional-ethics', 'stress',\n",
       "       'human-sexuality', 'social-relationships', 'children-adolescents',\n",
       "       'military-issues', 'self-harm', 'diagnosis',\n",
       "       'counseling-fundamentals'], dtype=object)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['topic'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0132ad1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "anger_df = df[df['topic'] == 'anger-management']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "75d50e4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['How can I control myself and my anger?',\n",
       "       'How do I not be angry all the time?',\n",
       "       'How can I control my temper?', 'Why do I get angry so easily?',\n",
       "       'How do I deal with my alcoholic boyfriend with a dark past?',\n",
       "       'My girlfriend always brings up past events and talks negatively about them',\n",
       "       'Why did my boyfriend hit himself in the face during an argument?',\n",
       "       'How can I just be happy and not mad all the time?',\n",
       "       'How can I be less angry?', 'I need help controlling my anger',\n",
       "       \"How do I deal with my son's violent thoughts and dreams?\",\n",
       "       \"How can I deal with the anger problems I've gained from my soon-to-be husband?\",\n",
       "       'How can I stop being so angry?', 'Why am I so mad?',\n",
       "       'How can I control myself and learn to let things go or communicate?',\n",
       "       'How can I be less confused about my feelings towards anything?',\n",
       "       'I need to know how to cope with misophonia before I go completely insane',\n",
       "       'i need answers to my angry, possessiveness, and urges',\n",
       "       'How can I control my anger?', 'How do I manage my anger?',\n",
       "       'Why am I constantly angry?',\n",
       "       'My husband and I canâ€™t talk to each other without arguing',\n",
       "       'Why do I get random spurts of anger over petty things?',\n",
       "       'I have anger issues. I am extremely explosive about the simplest things'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anger_df['questionTitle'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3535064",
   "metadata": {},
   "source": [
    "# CHATBOT-Response Function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "70f94f40",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "unmatched ')' (Temp/ipykernel_12096/564419044.py, line 8)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"C:\\Users\\GARLAP~1.VAR\\AppData\\Local\\Temp/ipykernel_12096/564419044.py\"\u001b[1;36m, line \u001b[1;32m8\u001b[0m\n\u001b[1;33m    answer=\"Hi! I\\'m a Mental Health chatbot!.My name is Manas.Please ask me for help whenever you feel like it! I\\'m always online.\")\u001b[0m\n\u001b[1;37m                                                                                                                                     ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m unmatched ')'\n"
     ]
    }
   ],
   "source": [
    "def Manas_chatbot(msg):\n",
    "    import pandas as pd\n",
    "    msg=msg.lower()\n",
    "    sentiment=Vader_sentiment_scores(msg)\n",
    "    greetings = ['hi','hey', 'hello', 'heyy', 'hi', 'hey', 'good evening', 'good morning', 'good afternoon', 'good', 'fine', 'okay', 'great', 'could be better', 'not so great', 'very well thanks', 'fine and you', \"i'm doing well\", 'pleasure to meet you', 'hi whatsup']\n",
    "    goodbyes = ['thank you', 'thank you', 'yes bye', 'bye', 'thanks and bye', 'ok thanks bye', 'goodbye', 'see ya later', 'alright thanks bye', \"that's all bye\", 'nice talking with you', 'i’ve gotta go', 'i’m off', 'good night', 'see ya', 'see ya later', 'catch ya later', 'adios', 'talk to you later', 'bye bye', 'all right then', 'thanks', 'thank you', 'thx', 'thx bye', 'thnks', 'thank u for ur help', 'many thanks', 'you saved my day', 'thanks a bunch', \"i can't thank you enough\", \"you're great\", 'thanks a ton', 'grateful for your help', 'i owe you one', 'thanks a million', 'really appreciate your help', 'no', 'no goodbye']\n",
    "    if msg in greetings:\n",
    "        answer=\"Hi! I\\'m a Mental Health chatbot!.My name is Manas.Please ask me for help whenever you feel like it! I\\'m always online.\"\n",
    "    elif sentiment=\"Positive\":\n",
    "        answer=\"That's great! Do you still have any questions for me?\"\n",
    "    elif sentiment=\"Negative\":\n",
    "        answer=\"Tough to hear that.Whats your problem ?\"\n",
    "    elif msg in goodbyes:\n",
    "        answer=\"Hope I was able to help you today! Take care, bye!\"\n",
    "    else:\n",
    "        category=Classify_problem(msg)\n",
    "        import pandas as pd\n",
    "        df=pd.read_excel(\"C:\\\\Users\\\\Garlapati.Varun\\\\Downloads\\\\Manas\\\\Answers_short.xlsx\")\n",
    "        df = df[df['Topic'] == category]\n",
    "        query=df['comp'].tolist()\n",
    "# print(query)\n",
    "        scores=[]\n",
    "        for queries in query:\n",
    "            a=similarity_test(queries)\n",
    "            scores.append(a)\n",
    "        df['scores']=scores\n",
    "        df=df[df['scores']==df['scores'].max()]\n",
    "        answer_out=df['Summarized answer'].tolist()\n",
    "        answer_out.insert(0, \"\")\n",
    "        answer = ''.join(answer_out)\n",
    "    return answer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38e182d6",
   "metadata": {},
   "source": [
    "# Testing Response Function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f6ce50f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 2min 8s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['Being able to control your temper depends on several variables: how you saw anger acted out as a child in terms of your primary caregivers and what you internalized as being normal. I would encourage you to seek anger management from a therapist who utilizes a Cognitive Behavioral approach. In addition, engage in activities that promote stress reduction if your blowups are indeed related to being overly stressed.']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "category=\"Anger Management\"\n",
    "import pandas as pd\n",
    "df=pd.read_excel(\"C:\\\\Users\\\\Garlapati.Varun\\\\Downloads\\\\Manas\\\\Answers_short.xlsx\")\n",
    "df = df[df['Topic'] == category]\n",
    "query=df['comp'].tolist()\n",
    "# print(query)\n",
    "scores=[]\n",
    "for queries in query:\n",
    "    a=similarity_test(queries)\n",
    "    scores.append(a)\n",
    "df['scores']=scores\n",
    "df=df[df['scores']==df['scores'].max()]\n",
    "answer_out=df['Summarized answer'].tolist()\n",
    "answer = ''.join(answer_out)\n",
    "answer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "051c92aa",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "chatbot",
   "language": "python",
   "name": "chatbot"
  },
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