mental_health_guide.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From c:\\Users\\PS\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\tensorflow\\python\\compat\\v2_compat.py:107: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "non-resource variables are not supported in the long term\n",
      "curses is not supported on this machine (please install/reinstall curses for an optimal experience)\n"
     ]
    }
   ],
   "source": [
    "import nltk\n",
    "from nltk.stem.lancaster import LancasterStemmer\n",
    "stemmer = LancasterStemmer()\n",
    "\n",
    "import numpy\n",
    "import tflearn\n",
    "import tensorflow\n",
    "import random\n",
    "import pickle\n",
    "\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data= {\"intents\": [\n",
    "        {\"tag\": \"greeting\",\n",
    "         \"patterns\": [\"Hi\",\n",
    "                      \"How are you\",\n",
    "                      \"I need to talk to someone!\",\n",
    "                      \"Is anyone there?\",\n",
    "                      \"Hello\",\n",
    "                      \"Good day\",\n",
    "                      \"Whats up\",\n",
    "                      \"I need help\",\n",
    "                      \"I cant take it anymore\",\n",
    "                      \"I need someone to listen to me\",\n",
    "                      \"hey\"],\n",
    "         \"responses\": [\"Hello! How are you doing today?\",\n",
    "                       \"Hello, this is Bubble, your beloved Therapist. Come on, let's talk!\",\n",
    "                       \"Good to see you! Let's begin today's session\",\n",
    "                       \"Hi there, how can I help?\",\n",
    "                       \"Is there something you want to talk about? Bubble is here for you!\",\n",
    "                       \"Do you want to talk about something?\",\n",
    "                       \"I am here to help you, we can talk about your feelings\",\n",
    "                       \"Hey I am Bubble, your very own Therapist! Feel free to talk about anything\",\n",
    "                       \"Hi its Bubble, your personal Therapist! Let's talk :)\"],\n",
    "         \"context_set\": \"\"\n",
    "        },\n",
    "        {\"tag\": \"goodbye\",\n",
    "         \"patterns\": [\"Goodbye! This was helpful!\",\n",
    "                      \"Bye\",\n",
    "                      \"byebye\",\n",
    "                      \"I have to go\",\n",
    "                      \"I should go thanks for talking.\"],\n",
    "         \"responses\": [\"Goodbye, I hope you will take better care of yourself. Looking forward to our next session.\",\n",
    "                       \" I Hope Bubble the Therapist was helpful to you! Let's talk soon!\",\n",
    "                       \"See you later, don't forget what we talked about today! I hope you would feel better after talking to me!\",\n",
    "                       \"I hope you feel better after talking! Take care of yourself, and remember to check in soon!\",\n",
    "                       \"Goodbye, Hope you have a good day ahead :)\"],\n",
    "         \"context_set\": \"\"\n",
    "        },\n",
    "        {\"tag\": \"bad\",\n",
    "         \"patterns\": [\"I cant help but feel like a failure\",\n",
    "                      \"I am sad\",\n",
    "                      \"I am struggling a lot in my daily life\",\n",
    "                      \"I hate my life\",\n",
    "                      \"I think I might be depressed\",\n",
    "                      \"I am not doing so great\",\n",
    "                      \"I am not good\",\n",
    "                      \"I am not well\",\n",
    "                      \"I have been feeling down lately\",\n",
    "                      \"I do not feel good these days.\",\n",
    "                      \"I just feel so stuck these days\",\n",
    "                      \"I feel worthless, I do not know what to do\",\n",
    "                      \"Sometimes I get sad for no particular reason, my energy just drops and I lose motivation to do anything\"],\n",
    "         \"responses\": [\"I understand that, It it totally normal to feel low sometimes. Especially in the midst of a global pandemic, this last year has been really hard for everyone and you have had your own struggles. First thing i'd suggest is getting the sleep you need or it will impact how you think and feel . I'd also suggest you to look at your life and find out what is going well in your life and what you can be grateful for . I believe everyone has something in their life to be grateful for. You can figure it out with some help. I would suggest you to start a writing journal, it is really going to help you with understanding your own emotions.\",\n",
    "                       \"You sound like you have so much on your mind ! I am relieved to hear that you are opening up about your struggles , but not being able to sleep , feeling worthless , and like you shouldn't be here are big issues that need addressing . Try to open up to your loved ones. Having someone to listen to you is a gift to yourself . You deserve the help of someone helping you change your feelings of worthlessness\",\n",
    "                       \"You have not been able to do this alone, and your don't have to be alone!. It's time to bring a change in your life! You can do this ! best to you !\"],\n",
    "         \"context_set\": \"\"\n",
    "        },\n",
    "        {\"tag\": \"extreme\",\n",
    "         \"patterns\": [\"I cannot talk to anyone. I have attempted suicide before. I need help\",\n",
    "                      \"I have suicidal thoughts and tendencies\",\n",
    "                      \"I hate myself, I do not want to exist anymore.\",\n",
    "                      \"I am depressed, I do not wish to live anymore\",\n",
    "                      \"I have no one in my life that I can talk to, I cannot live like this\",\n",
    "                      \"I feel worthless all the time. Sometimes I want to end it all\",\n",
    "                      \"It feels like the world has come down crumbling around me. I feel helpless\",\n",
    "                      \"I feel nothingness in my soul, I have no reason to live\",\n",
    "                      \"Suicide\",\n",
    "                      \"Everyday is the same, I feel like I cannot come out of this hole I am in. I want to end it all\",\n",
    "                      \"I am not capable of love, I am severly depressed\"],\n",
    "         \"responses\": [\"Please understand that you are not alone and it is not too late. You need immediate proffestional attention. I am providing you with some resources, please connect with a professional Therapist.\" + \"\\n\" + \"Resources: 1. Suicide Helpline India: 9152987821\" \"\\n\"  \"2. Help centers for different states: http://www.aasra.info/helpline.html\" +\"\\n\" + \"3. Suicide prevention: https://www.who.int/health-topics/suicide#tab=tab_1\", \n",
    "                       \"Listen friend, whatever it is that you are going through, you can get help, you can take control of your life. In my opinion, it is time to reach out for help to a professional. I believe you are in need of proffesional care. Here are some resources to help you out\" +\"\\n\"+ \"Resources: 1. Suicide Helpline India: 9152987821\"+ \"\\n\"+ \"2. Help centers for different states: http://www.aasra.info/helpline.html\" +\"\\n\" +\"3. Suicide prevention: https://www.who.int/health-topics/suicide#tab=tab_1\"],\n",
    "         \"context_set\": \"\"\n",
    "        },\n",
    "        {\"tag\": \"good\",\n",
    "         \"patterns\": [\"I feel happy!\",\n",
    "                      \"I am better than before!\",\n",
    "                      \"I am happy!\",\n",
    "                      \"I feel good these days\",\n",
    "                      \"Today was a good day\",\n",
    "                      \"I have found a new light in my life\",\n",
    "                      \"I feel like i have a new purpose in life!\"],\n",
    "         \"responses\": [\"Wow that is so great, I am happy our sessions have been working out for you!.\"],\n",
    "         \"context_set\": \"\"\n",
    "        },\n",
    "        {\"tag\": \"quotes\",\n",
    "         \"patterns\": [\"Make me happy\",\n",
    "                      \"Cheer me up\",\n",
    "                      \"I need to change my mood\",\n",
    "                      \"Tell me something\",\n",
    "                      \"Tell me some good quotes\",\n",
    "                      \"Need some positivity\",\n",
    "                      \"Need to hear something good\",\n",
    "                      \"I need to cheer up\"],\n",
    "         \"responses\": [\" 'There is love, there is music, there is no limit, there is work, there is the precious sense that this is the hour of grace when all things gather and distil to create the rest of my life. I don’t believe in God, I believe in everything.' \",\n",
    "                       \" 'Tomorrow is always fresh, with no mistakes in it yet' \",\n",
    "                       \" 'Today will be better. Not because the world has dealt you better cards, but because you choose to use them to your advantage. Today, you choose happiness.' \",\n",
    "                       \" 'Happiness is not something ready made. It comes from your own actions.' \",\n",
    "                       \" 'Happiness can be found, even in the darkest of times, if only one remembers to turn on the light.' \",\n",
    "                       \" 'Imagine walking over a ray of sunshine. Everything is warm and full of light and there is a smile, not on your lips, but rather deep inside of you. There is no past or future, time doesn't exist. You feel like you are becoming one with the sun. You're walking through infinity, one step at a time. Turns out happiness was always a part of you, you just had to allow it to break through. And freedom, freedom was just one tiny step in front of you.' \",\n",
    "                       \" 'So far, you have made it through all of your worst days. Well done, Keep going friend!' \",\n",
    "                       \" 'to be kind to all, to like many and love a few, to be needed and wanted by those we love, is certainly the nearest we can come to happiness' \",\n",
    "                       \" 'If happiness visits you again, do not remember it's previous betrayal. Enter into the happiness and burst' \",\n",
    "                       \" 'I had the epiphany that laughter was light, and light was laughter, and that this was the secret of the universe.' \"],\n",
    "         \"context_set\": \"\"\n",
    "        }\n",
    "   ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "LookupError",
     "evalue": "\n**********************************************************************\n  Resource \u001b[93mpunkt\u001b[0m not found.\n  Please use the NLTK Downloader to obtain the resource:\n\n  \u001b[31m>>> import nltk\n  >>> nltk.download('punkt')\n  \u001b[0m\n  For more information see: https://www.nltk.org/data.html\n\n  Attempted to load \u001b[93mtokenizers/punkt/english.pickle\u001b[0m\n\n  Searched in:\n    - 'C:\\\\Users\\\\PS/nltk_data'\n    - 'c:\\\\Users\\\\PS\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python39\\\\nltk_data'\n    - 'c:\\\\Users\\\\PS\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python39\\\\share\\\\nltk_data'\n    - 'c:\\\\Users\\\\PS\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python39\\\\lib\\\\nltk_data'\n    - 'C:\\\\Users\\\\PS\\\\AppData\\\\Roaming\\\\nltk_data'\n    - 'C:\\\\nltk_data'\n    - 'D:\\\\nltk_data'\n    - 'E:\\\\nltk_data'\n    - ''\n**********************************************************************\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_17316\\2291450494.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\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----> 2\u001b[1;33m     \u001b[1;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"data.pickle\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"rb\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mf\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      3\u001b[0m         \u001b[0mwords\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtraining\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moutput\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m#saving these variables in the file\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'data.pickle'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mLookupError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_17316\\2291450494.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     11\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mintent\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'intents'\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     12\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mpattern\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mintent\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'patterns'\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---> 13\u001b[1;33m             \u001b[0mwrds\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnltk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mword_tokenize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpattern\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m#tokenize the words, stemming\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     14\u001b[0m             \u001b[0mwords\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwrds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m             \u001b[0mdocs_x\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwrds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\PS\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\nltk\\tokenize\\__init__.py\u001b[0m in \u001b[0;36mword_tokenize\u001b[1;34m(text, language, preserve_line)\u001b[0m\n\u001b[0;32m    127\u001b[0m     \u001b[1;33m:\u001b[0m\u001b[0mtype\u001b[0m \u001b[0mpreserve_line\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mbool\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    128\u001b[0m     \"\"\"\n\u001b[1;32m--> 129\u001b[1;33m     \u001b[0msentences\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mpreserve_line\u001b[0m \u001b[1;32melse\u001b[0m \u001b[0msent_tokenize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlanguage\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    130\u001b[0m     return [\n\u001b[0;32m    131\u001b[0m         \u001b[0mtoken\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0msent\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msentences\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mtoken\u001b[0m \u001b[1;32min\u001b[0m \u001b[0m_treebank_word_tokenizer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtokenize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msent\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\PS\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\nltk\\tokenize\\__init__.py\u001b[0m in \u001b[0;36msent_tokenize\u001b[1;34m(text, language)\u001b[0m\n\u001b[0;32m    104\u001b[0m     \u001b[1;33m:\u001b[0m\u001b[0mparam\u001b[0m \u001b[0mlanguage\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0mname\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mPunkt\u001b[0m \u001b[0mcorpus\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    105\u001b[0m     \"\"\"\n\u001b[1;32m--> 106\u001b[1;33m     \u001b[0mtokenizer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"tokenizers/punkt/{language}.pickle\"\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    107\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mtokenizer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtokenize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    108\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\PS\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\nltk\\data.py\u001b[0m in \u001b[0;36mload\u001b[1;34m(resource_url, format, cache, verbose, logic_parser, fstruct_reader, encoding)\u001b[0m\n\u001b[0;32m    748\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    749\u001b[0m     \u001b[1;31m# Load the resource.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 750\u001b[1;33m     \u001b[0mopened_resource\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_open\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresource_url\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    751\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    752\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mformat\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"raw\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\PS\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\nltk\\data.py\u001b[0m in \u001b[0;36m_open\u001b[1;34m(resource_url)\u001b[0m\n\u001b[0;32m    874\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    875\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mprotocol\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mprotocol\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[1;34m\"nltk\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 876\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mfind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpath\u001b[0m \u001b[1;33m+\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[0mopen\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    877\u001b[0m     \u001b[1;32melif\u001b[0m \u001b[0mprotocol\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[1;34m\"file\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    878\u001b[0m         \u001b[1;31m# urllib might not use mode='rb', so handle this one ourselves:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\Users\\PS\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\nltk\\data.py\u001b[0m in \u001b[0;36mfind\u001b[1;34m(resource_name, paths)\u001b[0m\n\u001b[0;32m    581\u001b[0m     \u001b[0msep\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"*\"\u001b[0m \u001b[1;33m*\u001b[0m \u001b[1;36m70\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    582\u001b[0m     \u001b[0mresource_not_found\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34mf\"\\n{sep}\\n{msg}\\n{sep}\\n\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 583\u001b[1;33m     \u001b[1;32mraise\u001b[0m \u001b[0mLookupError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresource_not_found\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    584\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    585\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mLookupError\u001b[0m: \n**********************************************************************\n  Resource \u001b[93mpunkt\u001b[0m not found.\n  Please use the NLTK Downloader to obtain the resource:\n\n  \u001b[31m>>> import nltk\n  >>> nltk.download('punkt')\n  \u001b[0m\n  For more information see: https://www.nltk.org/data.html\n\n  Attempted to load \u001b[93mtokenizers/punkt/english.pickle\u001b[0m\n\n  Searched in:\n    - 'C:\\\\Users\\\\PS/nltk_data'\n    - 'c:\\\\Users\\\\PS\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python39\\\\nltk_data'\n    - 'c:\\\\Users\\\\PS\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python39\\\\share\\\\nltk_data'\n    - 'c:\\\\Users\\\\PS\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python39\\\\lib\\\\nltk_data'\n    - 'C:\\\\Users\\\\PS\\\\AppData\\\\Roaming\\\\nltk_data'\n    - 'C:\\\\nltk_data'\n    - 'D:\\\\nltk_data'\n    - 'E:\\\\nltk_data'\n    - ''\n**********************************************************************\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    with open(\"data.pickle\", \"rb\") as f:\n",
    "        words, labels, training, output = pickle.load(f) #saving these variables in the file\n",
    "except:\n",
    "    #these blank lists are created as we want to go through the json file\n",
    "    words = []\n",
    "    labels = []\n",
    "    docs_x = []\n",
    "    docs_y = []\n",
    "\n",
    "    for intent in data['intents']:\n",
    "        for pattern in intent['patterns']:\n",
    "            wrds = nltk.word_tokenize(pattern) #tokenize the words, stemming\n",
    "            words.extend(wrds)\n",
    "            docs_x.append(wrds)\n",
    "            docs_y.append(intent[\"tag\"]) #gives what intent the tag is a part of\n",
    "            \n",
    "        if intent['tag'] not in labels:\n",
    "            labels.append(intent['tag'])\n",
    "\n",
    "    #removing all the duplicate elements\n",
    "    words = [stemmer.stem(w.lower()) for w in words if w != \"?\"] #removing any question marks to not have any meaning to our model\n",
    "    words = sorted(list(set(words)))\n",
    "\n",
    "    labels = sorted(labels)\n",
    "    #create training and testing output\n",
    "    training = []\n",
    "    output = []\n",
    "\n",
    "    out_empty = [0 for _ in range(len(labels))]\n",
    "\n",
    "    for x, doc in enumerate(docs_x):\n",
    "        #list to keep a check on what words are present\n",
    "        #stemming the words\n",
    "        bag = []\n",
    "        wrds = [stemmer.stem(w.lower()) for w in doc]\n",
    "        #going through the words and adding the information to bag\n",
    "        for w in words:\n",
    "            if w in wrds: #word exsits so add 1 to the list\n",
    "                bag.append(1)\n",
    "            else: #word does not exsit so add 0 to the list\n",
    "                bag.append(0)\n",
    "        print(docs_x)\n",
    "        output_row = out_empty[:]\n",
    "        output_row[labels.index(docs_y[x])] = 1\n",
    "      \n",
    "        training.append(bag)\n",
    "        output.append(output_row)\n",
    "        \n",
    "training = numpy.array(training)\n",
    "output = numpy.array(output)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#training = numpy.array(training)\n",
    "#output = numpy.array(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Step: 6999  | total loss: \u001b[1m\u001b[32m0.00643\u001b[0m\u001b[0m | time: 0.038s\n",
      "| Adam | epoch: 1000 | loss: 0.00643 - acc: 1.0000 -- iter: 48/55\n",
      "Training Step: 7000  | total loss: \u001b[1m\u001b[32m0.00621\u001b[0m\u001b[0m | time: 0.046s\n",
      "| Adam | epoch: 1000 | loss: 0.00621 - acc: 1.0000 -- iter: 55/55\n",
      "--\n",
      "INFO:tensorflow:D:\\rimjhim\\SEMESTERS\\Semester 5 (18th august 2021)\\CSD350 Natural Language Processing\\NLP_PROJECT_RIMJHIM_SINGH\\model.tflearn is not in all_model_checkpoint_paths. Manually adding it.\n",
      "INFO:tensorflow:D:\\rimjhim\\SEMESTERS\\Semester 5 (18th august 2021)\\CSD350 Natural Language Processing\\NLP_PROJECT_RIMJHIM_SINGH\\model.tflearn.data-00000-of-00001\n",
      "INFO:tensorflow:0\n",
      "INFO:tensorflow:D:\\rimjhim\\SEMESTERS\\Semester 5 (18th august 2021)\\CSD350 Natural Language Processing\\NLP_PROJECT_RIMJHIM_SINGH\\model.tflearn.index\n",
      "INFO:tensorflow:0\n",
      "INFO:tensorflow:D:\\rimjhim\\SEMESTERS\\Semester 5 (18th august 2021)\\CSD350 Natural Language Processing\\NLP_PROJECT_RIMJHIM_SINGH\\model.tflearn.meta\n",
      "INFO:tensorflow:100\n"
     ]
    }
   ],
   "source": [
    "with open(\"data.pickle\", \"wb\") as f:\n",
    "    pickle.dump((words, labels, training, output), f)\n",
    "\n",
    "#resetting the graph data\n",
    "tensorflow.compat.v1.reset_default_graph()\n",
    "#defines the input shape\n",
    "net = tflearn.input_data(shape=[None, len(training[0])])\n",
    "#8 neurons for the first hidden layer\n",
    "net = tflearn.fully_connected(net, 6)\n",
    "#8 neurons for the second hidden layer\n",
    "net = tflearn.fully_connected(net, 6)\n",
    "#gets probability for each neuron in the output layer,\n",
    "#the neuron which has the highest probability that word is our output\n",
    "net = tflearn.fully_connected(net, len(output[0]), activation=\"softmax\")\n",
    "net = tflearn.regression(net)\n",
    "model = tflearn.DNN(net)\n",
    "try:\n",
    "    x\n",
    "    model.load(\"model.tflearn\")\n",
    "    model.summary()\n",
    "except:\n",
    "#we show the model the data 1000 times, the more times it sees the data, the more accurate it should get\n",
    "    model.fit(training, output, n_epoch=1000, batch_size=8, show_metric=True)\n",
    "    model.save(\"model.tflearn\")\n",
    "#print(model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bag_of_words(s, words):\n",
    "    bag = [0 for _ in range(len(words))] #creates a blank bag list\n",
    "\n",
    "    s_words = nltk.word_tokenize(s) #list of tokenized words\n",
    "    s_words = [stemmer.stem(word.lower()) for word in s_words] #stemming the words\n",
    "\n",
    "    for x in s_words:\n",
    "        for i, w in enumerate(words):\n",
    "            if w == x: #if current word is equal to our word in the sentence, then add 1 to bag list, generates the bag of words\n",
    "                bag[i] = 1\n",
    "    return numpy.array(bag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def chat():\n",
    "    print(\"You can start talking to Bubble! If you wish to end the conversation, please type 'quit'\")\n",
    "    while True:\n",
    "        inp = input(\"You: \")\n",
    "        if inp.lower() == \"quit\": #way to get out of the program\n",
    "            break\n",
    "\n",
    "        results = model.predict([bag_of_words(inp, words)]) #makes prediction, this only gives us some probability, no meaningful output\n",
    "        results_index = numpy.argmax(results) #this gives the index of the greatest value in our list\n",
    "        tag = labels[results_index] #maps the word to a particular tag\n",
    "        #if results[results_index] > 0.6:\n",
    "        for tg in data[\"intents\"]:\n",
    "            if tg['tag'] == tag:\n",
    "                responses = tg['responses']\n",
    "\n",
    "        print(random.choice(responses)) #selects a response from the tag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You can start talking to Bubble! If you wish to end the conversation, please type 'quit'\n",
      "You: helo\n",
      "Do you want to talk about something?\n",
      "You: i need help\n",
      "Good to see you! Let's begin today's session\n",
      "You: I am so sad\n",
      "You have not been able to do this alone, and your don't have to be alone!. It's time to bring a change in your life! You can do this ! best to you !\n",
      "You: i cannot do anything\n",
      "I understand that, It it totally normal to feel low sometimes. Especially in the midst of a global pandemic, this last year has been really hard for everyone and you have had your own struggles. First thing i'd suggest is getting the sleep you need or it will impact how you think and feel . I'd also suggest you to look at your life and find out what is going well in your life and what you can be grateful for . I believe everyone has something in their life to be grateful for. You can figure it out with some help. I would suggest you to start a writing journal, it is really going to help you with understanding your own emotions.\n",
      "You: cheer me up\n",
      " 'to be kind to all, to like many and love a few, to be needed and wanted by those we love, is certainly the nearest we can come to happiness' \n",
      "You: i feel better\n",
      "Wow that is so great, I am happy our sessions have been working out for you!.\n",
      "You: i have tried suicide before\n",
      "Please understand that you are not alone and it is not too late. You need immediate proffestional attention. I am providing you with some resources, please connect with a professional Therapist.\n",
      "Resources: 1. Suicide Helpline India: 9152987821\n",
      "2. Help centers for different states: http://www.aasra.info/helpline.html\n",
      "3. Suicide prevention: https://www.who.int/health-topics/suicide#tab=tab_1\n",
      "You: thanks for help\n",
      " I Hope Bubble the Therapist was helpful to you! Let's talk soon!\n"
     ]
    }
   ],
   "source": [
    "chat()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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