hi guys one question i am building a

from config import load_envs

load_envs()

from flask import Flask, request, jsonify
from index_manager import initialize_index, get_service_context
from flask_cors import CORS, cross_origin
from llama_index.prompts  import PromptTemplate
from llama_index.chat_engine import CondenseQuestionChatEngine
from chat_history_parser import retrieve_chat_history
from mongodb.db import insert_message_in_chat

import os

app = Flask(__name__)

cors = CORS(app)

app.config['CORS_HEADERS'] = 'Content-Type'

query_engine = initialize_index()

custom_prompt = PromptTemplate("""\
    Given a conversation (between Human and Assistant), a context, a history, and a follow up message from Human, \
    rewrite the message to be a standalone question that captures all relevant context \
    from the conversation, Always Reply in italian, not provide response outside the context or the chat history.

    <Chat History> 
    {chat_history}

    <Follow Up Message>
    {question}

    <Standalone question>
    """)

@app.route("/chat/<chatId>/answer", methods=["GET"])
def query_index(chatId):

  query_text = request.args.get("text")

  if query_text is None:
    return "No text found, please include a ?text=example parameter in the URL", 400

  service_context = get_service_context()

  history = retrieve_chat_history(chatId)

  chat_engine = CondenseQuestionChatEngine.from_defaults(
    query_engine=query_engine, 
    condense_question_prompt=custom_prompt,
    chat_history=history,
    service_context=service_context,
    verbose=True
  )

  response = chat_engine.chat(query_text)
  
  insert_message_in_chat(chatId, query_text, 'user')
  insert_message_in_chat(chatId, str(response), 'assistant')

  return jsonify(response = str(response)), 200

if __name__ == "__main__":
    app.config['MONGO_URI'] = os.getenv("MONGODB_URI")

    app.run(host="0.0.0.0", port=5601)