app.py

  import streamlit as st
  import openai

  # Set your OpenAI API key
 
  # Function to get response from OpenAI API
  def get_openai_response(prompt):
      response = openai.Completion.create(
          engine="text-davinci-003",
          prompt=prompt,
          max_tokens=150,
          n=1,
          stop=None,
          temperature=0.7,
      )
      message = response.choices[0].text.strip()
      return message

  # Streamlit UI components
  st.title("Insurance Policy Advisor Chatbot")
  st.write("Hello! I'm here to assist you in finding the best insurance policies tailored to your needs.")
  
  # Initialize session state for conversation history
  if 'messages' not in st.session_state:
      st.session_state.messages = []

  # Display conversation history
  for msg in st.session_state.messages:
      st.chat_message(msg['role']).markdown(msg['content'])

  # User input
  user_input = st.chat_input("Ask me about insurance policies...")

  if user_input:
      # Display user's message
      st.session_state.messages.append({"role": "user", "content": user_input})
      st.chat_message("user").markdown(user_input)

      # Generate chatbot's response
      prompt = f"Suggest insurance policies based on the following query: {user_input}"
      response = get_openai_response(prompt)

      # Display chatbot's response
      st.session_state.messages.append({"role": "assistant", "content": response})
      st.chat_message("assistant").markdown(response)