Create app.py

app.py

@@ -0,0 +1,46 @@
+  import streamlit as st
+  import openai
+
+  # Set your OpenAI API key
+  openai.api_key = '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'
+
+  # 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)