133 lines (132 with data), 4.3 kB

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     "text": [
      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
      "\n",
      "You said: i have a headache\n",
      "\n",
      "- what kind of headache do you have : 1. Migrane headache - intense throbbing pain on just one side of the head. 2. Cluster headaches - severe and recurrent headaches 3. Tension Headache - Ocassional;\n",
      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
      "\n",
      "Your last instruction was unclear to me\n",
      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
      "\n",
      "Your last instruction was unclear to me\n",
      "bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from flask import Flask, render_template, request\n",
    "from chatterbot import ChatBot\n",
    "from chatterbot.trainers import ChatterBotCorpusTrainer\n",
    "import os\n",
    "from gtts import gTTS\n",
    "import speech_recognition as sr\n",
    "import os\n",
    "import re\n",
    "import webbrowser\n",
    "import smtplib\n",
    "import requests\n",
    "\n",
    "\n",
    "from chatterbot import ChatBot\n",
    "from chatterbot.trainers import ListTrainer\n",
    "\n",
    "filenumber=int(os.listdir('saved_conversations')[-1])\n",
    "filenumber=filenumber+1\n",
    "file= open('saved_conversations/'+str(filenumber),\"w+\")\n",
    "file.write('bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\\n')\n",
    "file.close()\n",
    "\n",
    "\n",
    "english_bot = ChatBot('Bot',\n",
    "             storage_adapter='chatterbot.storage.SQLStorageAdapter',\n",
    "             logic_adapters=[\n",
    "   {\n",
    "       'import_path': 'chatterbot.logic.BestMatch'\n",
    "   },\n",
    "   \n",
    "],\n",
    "trainer='chatterbot.trainers.ListTrainer')\n",
    "english_bot.set_trainer(ListTrainer)\n",
    "\n",
    "\n",
    "def myCommand():\n",
    "    r = sr.Recognizer()\n",
    "\n",
    "    with sr.Microphone() as source:\n",
    "         print('bot : Hi There! I am a medical chatbot. You can begin conversation by typing in a message and pressing enter.\\n')\n",
    "         r.pause_treshold = 1\n",
    "         r.adjust_for_ambient_noise(source, duration = 1)\n",
    "         audio = r.listen(source)\t\n",
    "\n",
    "    try:\n",
    "        command = r.recognize_google(audio).lower()\n",
    "        print('You said: '+ command + '\\n')\n",
    "\n",
    "    except sr.UnknownValueError:\n",
    "           print('Your last instruction was unclear to me')\n",
    "           command = myCommand();\n",
    "\n",
    "    return command \n",
    "\n",
    "\n",
    "def get_bot_response(command):\n",
    "    #userText = request.args.get('msg')\n",
    "    response = str(english_bot.get_response(command))\n",
    "\n",
    "    appendfile=os.listdir('saved_conversations')[-1]\n",
    "    appendfile= open('saved_conversations/'+str(filenumber),\"a\")\n",
    "    appendfile.write('user : '+command+'\\n')\n",
    "    appendfile.write('bot : '+response+'\\n')\n",
    "    appendfile.close()\n",
    "    return response\n",
    "\n",
    "\n",
    "while True:\n",
    "    value=get_bot_response(myCommand())\n",
    "    print(value)"
   ]
  },
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   "execution_count": null,
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