app.py

from bot import llm
# from tools import model_llm_rag
from flask import Flask, request, jsonify
# from langchain_core.messages import HumanMessage, AIMessage
# from langchain.prompts import ChatPromptTemplate
# from deep_translator import GoogleTranslator


app = Flask(__name__)

def simulate_llm_query(user_input, username):
    """
    Simulates querying a language model.
    Replace this function's logic with actual LLM querying.
    """
    # Placeholder response logic, replace with actual LLM integration
    return llm.query(user_input, username)

@app.route('/query', methods=['POST'])
def query_llm():
    data = request.json
    user_input = data.get('input')
    username = data.get('username')
    
    if not user_input:
        return jsonify({"error": "No input provided"}), 400
    
    response = simulate_llm_query(user_input, username)
    return jsonify({"response": response})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860)