code: from langchain.text_splitter import RecursiveCharacterTextSplitter
  from langchain.chains.question_answering import load_qa_chain
  from langchain.embeddings.openai import OpenAIEmbeddings
  from streamlit_option_menu import option_menu
  from deep_translator import GoogleTranslator
  from langchain.vectorstores import Pinecone
  import streamlit_authenticator as stauth
  from yaml.loader import SafeLoader
  from langchain.llms import OpenAI
  from dotenv import load_dotenv
  from langchain import OpenAI
  from PyPDF2 import PdfReader
  import streamlit as st
  import langchain
  load_dotenv()
  import pinecone
  import openai
  import time
  import yaml
  import os
  
  # Initialization
  pinecone.init(api_key="db6b2a8c-d59e-48e1-8d5c-4c2704622937",environment="gcp-starter")
  llm=OpenAI(model_name="gpt-3.5-turbo-instruct")
  chain=load_qa_chain(llm,chain_type="stuff")
  index_name="langchainvector"
  
  
  # Home Page
  def home():
      st.title("This is my Home page")
  
  
  # Login Page
  def login():
      st.title("Login page")
      with open('./config.yaml') as file:
          config = yaml.load(file, Loader=SafeLoader)
  
      authenticator = stauth.Authenticate(
          config['credentials'],
          config['cookie']['name'],
          config['cookie']['key'],
          config['cookie']['expiry_days'],
          config['preauthorized']
      )
      authenticator.login('Login', location = 'main')
      if st.session_state["authentication_status"]:
          st.title(f'Welcome *{st.session_state["name"]}*')
          st.subheader('Click on the Chat to upload document and access AI chatbot')
          user_name = st.session_state["name"]
          parent = os.getcwd()
          path = os.path.join(parent, user_name)
          if not os.path.exists(path):
              os.mkdir(path)
          with st.sidebar:
                 authenticator.logout("Logout", "sidebar")
      elif st.session_state["authentication_status"] is False:
          st.error('Username/password is incorrect')
      elif st.session_state["authentication_status"] is None:
          st.warning('Please enter your username and password')
  
  
  # Register Page
  def register():
      st.title("Register page")
      with open('./config.yaml') as file:
          config = yaml.load(file, Loader=SafeLoader)
  
      authenticator = stauth.Authenticate(
          config['credentials'],
          config['cookie']['name'],
          config['cookie']['key'],
          config['cookie']['expiry_days'],
          config['preauthorized']
      )
      if authenticator.register_user('Register user', preauthorization=False):
          st.success('User registration successfully')
      with open('./config.yaml', 'a') as file:
          yaml.dump(config, file, default_flow_style=False)
  
  
  def forgot_pass():
      with open('./config.yaml') as file:
          config = yaml.load(file, Loader=SafeLoader)
  
      authenticator = stauth.Authenticate(
          config['credentials'],
          config['cookie']['name'],
          config['cookie']['key'],
          config['cookie']['expiry_days'],
          config['preauthorized']
      )
      username_forgot_pw, email, random_password = authenticator.forgot_password('Forgot password')
      if username_forgot_pw:
          st.success(f'New random password is : {random_password}.. Change it in next login')
      elif username_forgot_pw == False:
          st.error('Username not found')
      with open('./config.yaml', 'w') as file:
          yaml.dump(config, file, default_flow_style=False)
  
  
  def change_pass():
      with open('./config.yaml') as file:
          config = yaml.load(file, Loader=SafeLoader)
  
      authenticator = stauth.Authenticate(
          config['credentials'],
          config['cookie']['name'],
          config['cookie']['key'],
          config['cookie']['expiry_days'],
          config['preauthorized']
      )
      if st.session_state["authentication_status"]:
          if authenticator.reset_password(st.session_state["username"], 'Reset password'):
              st.success('New password changed')
      if not st.session_state["authentication_status"]:
          st.subheader('You need to login to change the password')
      with open('./config.yaml', 'w') as file:
          yaml.dump(config, file, default_flow_style=False)
  
  
  def update_profile():
      with open('./config.yaml') as file:
          config = yaml.load(file, Loader=SafeLoader)
  
      authenticator = stauth.Authenticate(
          config['credentials'],
          config['cookie']['name'],
          config['cookie']['key'],
          config['cookie']['expiry_days'],
          config['preauthorized']
      )
      if st.session_state["authentication_status"]:
          if authenticator.update_user_details(st.session_state["username"], 'Update user details'):
              st.success('Entries updated successfully')
      if not st.session_state["authentication_status"]:
          st.subheader('You need to login to update the profile')
      with open('./config.yaml', 'a') as file:
          yaml.dump(config, file, default_flow_style=False)
  
  
  # Translatiton
  def translate_text(text, source='auto', target='hi'):
      return GoogleTranslator(source=source, target=target).translate(text)
  
  
  # Extract document and create embeddings
  def process_text():
  	text = ""
  	if not os.path.exists(st.session_state.txt_path):
  		os.mkdir(st.session_state.txt_path)
  	if st.session_state.doc_type  == 'PDF':
  		for file in st.session_state.upload_folder:
  			pdfdata = PdfReader(file)
  			for page in pdfdata.pages:
  				text += page.extract_text()
  	else:
  		for file in pdf_folder:
  			for line in file:
  				text += str(line, encoding = 'utf-8')
  	file = open(st.session_state.txt_path + '/' + 'raw_text.txt' , 'w')
  	file.write(text)
  
  	text_splitter = RecursiveCharacterTextSplitter(
  		chunk_size=1000,
  		chunk_overlap=100, 
  		length_function=len
  	)
  	chunks = text_splitter.split_text(text)
  	embeddings = OpenAIEmbeddings()
  	st.info('Creating OpenAI embeddings with PINECONE.... Please wait', icon="ℹ️")
  	st.session_state.vector_db = Pinecone.from_texts(chunks,embeddings,index_name=index_name)
  	st.success('Embeddings generated... Start the conversations', icon="✅")
  
  
  
  def query_answer(query):
  	docs = st.session_state.vector_db.similarity_search(query, k=2)
  	response = chain.run(input_documents=docs, question=query)
  	return response
  
  
  def chatbox():
  	for message in st.session_state.messages:
  		with st.chat_message(message['role']):
  			st.markdown(message['content'])
  	if prompt := st.chat_input('Ask question about PDF content'):
  		st.session_state.messages.append({'role' : 'user', 'content' : prompt})
  		with st.chat_message('user'):
  			st.markdown(prompt)
  		with st.chat_message('assistant'):
  			message_placeholder = st.empty()
  			raw_prompt = translate_text(prompt, 'auto', 'en')
  			result = query_answer(prompt)
  			result2 = ""
  			for chunk in result.split():
  				result2 += chunk + " "
  				time.sleep(0.1)
  				message_placeholder.markdown(result2 + "▌")
  		st.session_state.messages.append({"role": "assistant", "content": result})
  
  
  def about(key):
  	selection = st.session_state[key]
  	if selection == 'Home':
  		home()
  	if selection == 'Login':
  		login()
  	if selection == 'Register':
  		register()
  	if selection == 'Forgot Password':
  		forgot_pass()
  
  def tasks():
  	st.write('Tasks')
  
  def main():
  	if 'vector_db' not in st.session_state:
  		st.session_state.vector_db = None
  	if 'txt_path' not in st.session_state:
  		st.session_state.txt_path = None
  	if 'doc_type' not in st.session_state:
  		st.session_state.doc_type = None
  	if 'upload_folder' not in st.session_state:
  		st.session_state.upload_folder = None
  	if 'messages' not in st.session_state:
  		st.session_state.messages = []
  	st.session_state.txt_path = os.path.join(os.getcwd(), 'extract_text')
  	with st.sidebar:
  		selected5 = option_menu(None, ["Home", "Login", "Register", 'Forgot Passoword'],
  	                        icons=['house', 'login', "register", 'gear'],
  	                        on_change=about, key='menu_5', orientation="vertical")
  		st.session_state.doc_type = st.selectbox('Document type', ('None','PDF','TXT', 'RST','MD'))
  		st.session_state.upload_folder = st.file_uploader('Upload files', type = ['pdf', 'txt', 'rst','md'], accept_multiple_files=True)
  		submitBtn = st.button('Submit') 
  		if submitBtn:
  			process_text()
  		
  	chatbox()
  
  
  if __name__ == '__main__':
  	main()
  
apis: langchain.vectorstores.Pinecone.from_texts langchain.text_splitter.RecursiveCharacterTextSplitter langchain.chains.question_answering.load_qa_chain langchain.embeddings.openai.OpenAIEmbeddings langchain.OpenAI
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