day34_ML_ocr_tts-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "30ee12d3-e86e-4d2a-854f-ee8f21dc3ebe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "893b5843-5217-4b19-b9ae-2882bd48e8ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pipwin in c:\\users\\hp\\anaconda3\\lib\\site-packages (0.5.1)\n",
      "Requirement already satisfied: docopt in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pipwin) (0.6.2)\n",
      "Requirement already satisfied: pySmartDL>=1.3.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pipwin) (1.3.4)\n",
      "Requirement already satisfied: six in c:\\users\\hp\\appdata\\roaming\\python\\python38\\site-packages (from pipwin) (1.15.0)\n",
      "Requirement already satisfied: requests in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pipwin) (2.25.1)\n",
      "Requirement already satisfied: pyprind in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pipwin) (2.11.3)\n",
      "Requirement already satisfied: beautifulsoup4>=4.9.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pipwin) (4.9.3)\n",
      "Requirement already satisfied: packaging in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pipwin) (20.9)\n",
      "Requirement already satisfied: js2py in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pipwin) (0.71)\n",
      "Requirement already satisfied: soupsieve>1.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from beautifulsoup4>=4.9.0->pipwin) (2.2.1)\n",
      "Requirement already satisfied: tzlocal>=1.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from js2py->pipwin) (2.1)\n",
      "Requirement already satisfied: pyjsparser>=2.5.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from js2py->pipwin) (2.7.1)\n",
      "Requirement already satisfied: pytz in c:\\users\\hp\\anaconda3\\lib\\site-packages (from tzlocal>=1.2->js2py->pipwin) (2021.1)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from packaging->pipwin) (2.4.7)\n",
      "Requirement already satisfied: chardet<5,>=3.0.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from requests->pipwin) (4.0.0)\n",
      "Requirement already satisfied: idna<3,>=2.5 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from requests->pipwin) (2.10)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from requests->pipwin) (2020.12.5)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from requests->pipwin) (1.26.4)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pipwin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4927e5b8-342a-49b9-89dc-4f447569290c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting package metadata (current_repodata.json): ...working... done\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR conda.core.link:_execute(699): An error occurred while installing package 'defaults::conda-4.10.3-py38haa95532_0'.\n",
      "\n",
      "[Errno 2] No such file or directory: 'C:\\\\Users\\\\HP\\\\anaconda3\\\\pkgs\\\\conda-4.10.3-py38haa95532_0\\\\Lib\\\\site-packages\\\\conda\\\\common\\\\url.py'\n",
      "()\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Solving environment: ...working... done\n",
      "\n",
      "## Package Plan ##\n",
      "\n",
      "  environment location: C:\\Users\\HP\\anaconda3\n",
      "\n",
      "  added / updated specs:\n",
      "    - pyaudio\n",
      "\n",
      "\n",
      "The following packages will be downloaded:\n",
      "\n",
      "    package                    |            build\n",
      "    ---------------------------|-----------------\n",
      "    conda-4.10.3               |   py38haa95532_0         2.9 MB\n",
      "    portaudio-19.6.0           |       he774522_4         240 KB  anaconda\n",
      "    pyaudio-0.2.11             |   py38he774522_2         189 KB  anaconda\n",
      "    ------------------------------------------------------------\n",
      "                                           Total:         3.3 MB\n",
      "\n",
      "The following NEW packages will be INSTALLED:\n",
      "\n",
      "  portaudio          anaconda/win-64::portaudio-19.6.0-he774522_4\n",
      "  pyaudio            anaconda/win-64::pyaudio-0.2.11-py38he774522_2\n",
      "\n",
      "The following packages will be UPDATED:\n",
      "\n",
      "  conda                               4.10.1-py38haa95532_1 --> 4.10.3-py38haa95532_0\n",
      "\n",
      "\n",
      "\n",
      "Downloading and Extracting Packages\n",
      "\n",
      "pyaudio-0.2.11       | 189 KB    |            |   0% \n",
      "pyaudio-0.2.11       | 189 KB    | 8          |   8% \n",
      "pyaudio-0.2.11       | 189 KB    | ########## | 100% \n",
      "pyaudio-0.2.11       | 189 KB    | ########## | 100% \n",
      "\n",
      "conda-4.10.3         | 2.9 MB    |            |   0% \n",
      "conda-4.10.3         | 2.9 MB    | 3          |   3% \n",
      "conda-4.10.3         | 2.9 MB    | ##4        |  25% \n",
      "conda-4.10.3         | 2.9 MB    | ####3      |  43% \n",
      "conda-4.10.3         | 2.9 MB    | #####8     |  59% \n",
      "conda-4.10.3         | 2.9 MB    | ######6    |  66% \n",
      "conda-4.10.3         | 2.9 MB    | #######9   |  80% \n",
      "conda-4.10.3         | 2.9 MB    | #########  |  91% \n",
      "conda-4.10.3         | 2.9 MB    | #########9 | 100% \n",
      "conda-4.10.3         | 2.9 MB    | ########## | 100% \n",
      "\n",
      "portaudio-19.6.0     | 240 KB    |            |   0% \n",
      "portaudio-19.6.0     | 240 KB    | ########## | 100% \n",
      "portaudio-19.6.0     | 240 KB    | ########## | 100% \n",
      "Preparing transaction: ...working... done\n",
      "Verifying transaction: ...working... done\n",
      "Executing transaction: ...working... done\n",
      "Rolling back transaction: ...working... done\n"
     ]
    }
   ],
   "source": [
    "conda install -c anaconda pyaudio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a9ce6750-2742-49c4-9ae0-745100b8055d",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-3-6e230a00a763>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mnltk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdownload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36mdownload\u001b[1;34m(self, info_or_id, download_dir, quiet, force, prefix, halt_on_error, raise_on_error, print_error_to)\u001b[0m\n\u001b[0;32m    763\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mdownload_dir\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    764\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_download_dir\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdownload_dir\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 765\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_interactive_download\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    766\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    767\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m_interactive_download\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1113\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mTKINTER\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1114\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1115\u001b[1;33m                 \u001b[0mDownloaderGUI\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmainloop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1116\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mTclError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1117\u001b[0m                 \u001b[0mDownloaderShell\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, dataserver, use_threads)\u001b[0m\n\u001b[0;32m   1410\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_init_menu\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1411\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1412\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fill_table\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1413\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mHTTPError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1414\u001b[0m             \u001b[0mshowerror\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Error reading from server\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m_fill_table\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1745\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1746\u001b[0m             \u001b[1;32massert\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"bad tab value %r\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_tab\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1747\u001b[1;33m         \u001b[0mrows\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_package_to_columns\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mitem\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mitems\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1748\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_table\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrows\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1749\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m   1745\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1746\u001b[0m             \u001b[1;32massert\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"bad tab value %r\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_tab\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1747\u001b[1;33m         \u001b[0mrows\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_package_to_columns\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mitem\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mitems\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1748\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_table\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrows\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1749\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m_package_to_columns\u001b[1;34m(self, pkg)\u001b[0m\n\u001b[0;32m   1901\u001b[0m                 \u001b[0mrow\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpkg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mid\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1902\u001b[0m             \u001b[1;32melif\u001b[0m \u001b[0mcolumn_name\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"Status\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1903\u001b[1;33m                 \u001b[0mrow\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_ds\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpkg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1904\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1905\u001b[0m                 \u001b[0mattr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcolumn_name\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\" \"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"_\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36mstatus\u001b[1;34m(self, info_or_id, download_dir)\u001b[0m\n\u001b[0;32m    864\u001b[0m         \u001b[1;31m# Handle collections:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    865\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mCollection\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 866\u001b[1;33m             \u001b[0mpkg_status\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpkg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mid\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mpkg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0minfo\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpackages\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    867\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSTALE\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mpkg_status\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    868\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSTALE\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    864\u001b[0m         \u001b[1;31m# Handle collections:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    865\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mCollection\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 866\u001b[1;33m             \u001b[0mpkg_status\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpkg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mid\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mpkg\u001b[0m \u001b[1;32min\u001b[0m \u001b[0minfo\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpackages\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    867\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSTALE\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mpkg_status\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    868\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSTALE\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36mstatus\u001b[1;34m(self, info_or_id, download_dir)\u001b[0m\n\u001b[0;32m    883\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    884\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0minfo\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mid\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_status_cache\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 885\u001b[1;33m                     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_status_cache\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mid\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_pkg_status\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfilepath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    886\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_status_cache\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mid\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    887\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m_pkg_status\u001b[1;34m(self, info, filepath)\u001b[0m\n\u001b[0;32m    911\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSTALE\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    912\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 913\u001b[1;33m             unzipped_size = sum(\n\u001b[0m\u001b[0;32m    914\u001b[0m                 \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0md\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mst_size\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    915\u001b[0m                 \u001b[1;32mfor\u001b[0m \u001b[0md\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfiles\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwalk\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0munzipdir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\downloader.py\u001b[0m in \u001b[0;36m<genexpr>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    911\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSTALE\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    912\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 913\u001b[1;33m             unzipped_size = sum(\n\u001b[0m\u001b[0;32m    914\u001b[0m                 \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0md\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mst_size\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    915\u001b[0m                 \u001b[1;32mfor\u001b[0m \u001b[0md\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfiles\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwalk\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0munzipdir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\os.py\u001b[0m in \u001b[0;36mwalk\u001b[1;34m(top, topdown, onerror, followlinks)\u001b[0m\n\u001b[0;32m    360\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    361\u001b[0m                 \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 362\u001b[1;33m                     \u001b[0mentry\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mscandir_it\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    363\u001b[0m                 \u001b[1;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    364\u001b[0m                     \u001b[1;32mbreak\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "nltk.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "200ed2c1-30e9-42eb-b6ba-81ab8ac2f676",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.chat.util import Chat, reflections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ca84d8bd-bd55-4803-aaf0-5dd63ad65cc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'i am': 'you are',\n",
       " 'i was': 'you were',\n",
       " 'i': 'you',\n",
       " \"i'm\": 'you are',\n",
       " \"i'd\": 'you would',\n",
       " \"i've\": 'you have',\n",
       " \"i'll\": 'you will',\n",
       " 'my': 'your',\n",
       " 'you are': 'I am',\n",
       " 'you were': 'I was',\n",
       " \"you've\": 'I have',\n",
       " \"you'll\": 'I will',\n",
       " 'your': 'my',\n",
       " 'yours': 'mine',\n",
       " 'you': 'me',\n",
       " 'me': 'you'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reflections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1f51b22f-71f1-478a-993b-8fc6346c263a",
   "metadata": {},
   "outputs": [],
   "source": [
    "pairs = (\n",
    "    (r'i like (.*)', \n",
    "        (\n",
    "            'Surely, you can like %1',\n",
    "            'why, do you like %1?'\n",
    "        )\n",
    "    ),\n",
    "    (r'will you please (.*)', \n",
    "        (\n",
    "            'yeah, sure',\n",
    "            'no, i can not do this'\n",
    "        )\n",
    "    ),\n",
    "    (r'(.*)python(.*)',\n",
    "         (\n",
    "             'python is an interpreted language',\n",
    "             'python is 4th generation language',\n",
    "             'python is language of today and tomorrow'             \n",
    "         )    \n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "db3855ec-5b64-4052-8a82-d820af9d1c66",
   "metadata": {},
   "outputs": [],
   "source": [
    "cb = Chat(pairs, reflections)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "456faea6-fd02-40a7-9833-b4b99d668e28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<nltk.chat.util.Chat at 0x164b5c5a5b0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ab083960-17a3-41ca-90af-53a77fa9f2f8",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "Interrupted by user",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-16-c456c24e660f>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mcb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconverse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\nltk\\chat\\util.py\u001b[0m in \u001b[0;36mconverse\u001b[1;34m(self, quit)\u001b[0m\n\u001b[0;32m    117\u001b[0m             \u001b[0muser_input\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mquit\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    118\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 119\u001b[1;33m                 \u001b[0muser_input\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minput\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\">\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    120\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mEOFError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    121\u001b[0m                 \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muser_input\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\u001b[0m in \u001b[0;36mraw_input\u001b[1;34m(self, prompt)\u001b[0m\n\u001b[0;32m    858\u001b[0m                 \u001b[1;34m\"raw_input was called, but this frontend does not support input requests.\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    859\u001b[0m             )\n\u001b[1;32m--> 860\u001b[1;33m         return self._input_request(str(prompt),\n\u001b[0m\u001b[0;32m    861\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_parent_ident\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    862\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_parent_header\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\ipykernel\\kernelbase.py\u001b[0m in \u001b[0;36m_input_request\u001b[1;34m(self, prompt, ident, parent, password)\u001b[0m\n\u001b[0;32m    902\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    903\u001b[0m                 \u001b[1;31m# re-raise KeyboardInterrupt, to truncate traceback\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 904\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Interrupted by user\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    905\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    906\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Invalid Message:\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexc_info\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: Interrupted by user"
     ]
    }
   ],
   "source": [
    "cb.converse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2c563c9d-3c25-46e8-8720-bf1fc576126d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'python is language of today and tomorrow'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cb.respond('can you tell me about python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1ed1c153-81f1-42a4-87d7-4d05c3bc64a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "qu = 'can python be used for machine learning'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8bd6d45f-ab40-4743-bebc-4f45f4de1905",
   "metadata": {},
   "outputs": [],
   "source": [
    "resp = cb.respond(qu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7a0e71e2-6500-4531-9652-aa52b35ad260",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'python is language of today and tomorrow'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4adabdf4-b545-4670-83a6-c696ff54640f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pyttsx3 in c:\\users\\hp\\anaconda3\\lib\\site-packages (2.90)\n",
      "Requirement already satisfied: pypiwin32 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pyttsx3) (223)\n",
      "Requirement already satisfied: pywin32 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pyttsx3) (227)\n",
      "Requirement already satisfied: comtypes in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pyttsx3) (1.1.9)\n"
     ]
    }
   ],
   "source": [
    "!pip install pyttsx3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8968dd49-65bb-49b6-b539-b7e37da362b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: SpeechRecognition in c:\\users\\hp\\anaconda3\\lib\\site-packages (3.8.1)\n"
     ]
    }
   ],
   "source": [
    "!pip install SpeechRecognition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5443d448-bdef-4ac6-b420-f33ac70e5cbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyttsx3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f020e10d-7f2e-4d7d-bb5d-b3c7d139e690",
   "metadata": {},
   "outputs": [],
   "source": [
    "speng = pyttsx3.init()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cadbd7f6-7198-4089-9995-1c184c307866",
   "metadata": {},
   "outputs": [],
   "source": [
    "speng.setProperty('rate',120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a779cedf-5730-4eb6-a9ee-c349e37dbcd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "speng.say('hello Abhishek, I am speaking')\n",
    "speng.runAndWait()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6c51ceae-0b0e-406e-be7d-b48a2d93788f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import speech_recognition as sr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "4cf6e004-1e9b-4b18-b095-4ad0abc413f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "r = sr.Recognizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "aa60d467-f5b1-494c-9f98-2f045a56ba2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import webbrowser as wb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "39a9d5a8-a292-486b-8723-f6a4be4965e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wb.open_new('https://google.com/search?q=chatbot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3661a6bc-7897-4b2f-95c1-55d99c179c71",
   "metadata": {},
   "outputs": [],
   "source": [
    "qq = 'i want to purchase mobile'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "65b4b751-c46a-4ef1-a794-a25f90229813",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'mobile'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qq.split('purchase')[-1].strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4c09c3ea-5970-4c72-b6a2-968df645914d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error\n",
      "\n",
      "error\n",
      "\n",
      "you said: gadhe main bhi Ghuma liya kar\n",
      "--------------------\n",
      "you said: Mujhe Tu Babbu Ek Pase Hai Jag Sara Mera Tu Hi Hai bas Yaara Tere Yaar batane mein\n",
      "--------------------\n",
      "error\n",
      "\n"
     ]
    }
   ],
   "source": [
    "while True:\n",
    "    with sr.Microphone() as source:\n",
    "        r.adjust_for_ambient_noise(source)\n",
    "        audio = r.listen(source)\n",
    "        try:\n",
    "            que = r.recognize_google(audio)\n",
    "            if que == 'exit':\n",
    "                break            \n",
    "            print('you said:',que)\n",
    "            resp = cb.respond(que)\n",
    "            if resp:\n",
    "                print('Bot:',resp)\n",
    "                speng.say(resp)\n",
    "                speng.runAndWait()\n",
    "            else:\n",
    "                if 'search' in que:\n",
    "                    if 'chatbot' in que:\n",
    "                        wb.open_new('https://google.com/search?q=chatbot')\n",
    "                    elif 'games' in que:\n",
    "                        wb.open_new('https://google.com/search?q=games')\n",
    "                elif 'purchase' in que:\n",
    "                    query = que.split('purchase')[-1].strip()\n",
    "                    wb.open_new('https://flipkart.com/search?q={}'.format(query))            \n",
    "            print('-'*20)\n",
    "        except Exception as e:\n",
    "            print('error')\n",
    "            print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80bffaab-e062-4358-8959-a08d2a770123",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install pytesseract"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a507279-5479-4492-a1ca-11c20b59f4f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed2ade22-e7fa-45db-af39-8603ead395f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pytesseract\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b4805c41-dd36-4e8f-9f2c-4d0186a6aedc",
   "metadata": {},
   "outputs": [],
   "source": [
    "pytesseract.pytesseract.tesseract_cmd = path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93a6f5bf-d7f4-4d08-9fe0-b364ac7acb61",
   "metadata": {},
   "outputs": [],
   "source": [
    "img = Image.open('Capture.PNG')\n",
    "img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c95ad01-02e9-4d4f-9966-dc01936d64e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = pytesseract.image_to_string(img)\n",
    "text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab4967e1-5486-465d-ae7c-eac2d714b333",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d35b71b-24fe-49e4-a8e8-cc04f0a70be2",
   "metadata": {},
   "outputs": [],
   "source": [
    "img2 = Image.open('Capture2.PNG')\n",
    "img2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "022d8f07-5d07-4be8-ab45-0a7982e3c17e",
   "metadata": {},
   "outputs": [],
   "source": [
    "text2 = pytesseract.image_to_string(img2)\n",
    "print(text2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "205e24b8-ac5b-44df-988c-1807c44c749b",
   "metadata": {},
   "outputs": [],
   "source": [
    "Image.open('text-messages-that-will-make-her-want-you.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58d1cd02-26f5-4891-be4a-77afe33cc8e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "text3 = pytesseract.image_to_string(Image.open('text-messages-that-will-make-her-want-you.jpg'))\n",
    "print(text3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0a0b3e0-2fb3-425f-97f2-89ffba7296b2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
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 },
 "nbformat": 4,
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