Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from huggingface_hub import InferenceClient
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +11,35 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        # Using the free Qwen model to answer evaluation questions
+        self.client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct")
+        print("Real AI Agent initialized.")
+
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        print(f"AI processing question: {question[:50]}...")
+        
+        prompt = f"""You are an expert agent competing in the GAIA benchmark.
+        Answer the following question in an EXTREMELY concise manner.
+        Provide ONLY the final value (a number, a date, a specific name, or a raw word).
+        Do NOT write full sentences, do NOT explain your reasoning, and do NOT use conversational text.
+        
+        Question: {question}
+        Short Answer:"""
+        
+        try:
+            messages = [{"role": "user", "content": prompt}]
+            response = self.client.chat_completion(messages, max_tokens=50)
+            answer = response.choices[0].message.content.strip()
+            # Clean up potential artifacts
+            answer = answer.replace("FINAL ANSWER:", "").replace('"', '').strip()
+            print(f"AI Response: {answer}")
+            return answer
+        except Exception as e:
+            print(f"AI Error: {e}")
+            return "Error"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """