simple solution

app.py

@@ -4,20 +4,36 @@ import requests
 import inspect
 import pandas as pd
 
+from langchain_openai import ChatOpenAI
+from langchain_core.messages import HumanMessage
+
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
+model = ChatOpenAI(temperature=0)
+
+
+
+
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
+
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer. --- 1"
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        # fixed_answer = "This is a default answer. --- 1"
+        # print(f"Agent returning fixed answer: {fixed_answer}")
+        prompt = f"""
+        You should answer a question: {question}
+        """
+        
+        # Call the LLM
+        messages = [HumanMessage(content=prompt)]
+        response = model.invoke(messages)
+        return response
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """