Update app.py

app.py

@@ -2,7 +2,6 @@ import os
 import gradio as gr
 import requests
 import pandas as pd
-# Fixed Imports for 2026 smolagents version
 from smolagents import CodeAgent, DuckDuckGoSearchTool, LiteLLMModel, VisitWebpageTool
 
 # --- Constants ---
@@ -11,9 +10,14 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # --- Agent Definition ---
 class AgentArchitect:
     def __init__(self):
-        # We use LiteLLMModel here - it's the updated, more stable way to call HF models
-        # and other providers in the current smolagents version.
-        self.model = LiteLLMModel(model_id="huggingface/Qwen/Qwen2.5-72B-Instruct")
+        # SECURE WAY: Fetch the token from the Space Secrets
+        # Make sure you have added 'HF_TOKEN' in your Space Settings!
+        hf_token = os.getenv("HF_TOKEN")
+        
+        self.model = LiteLLMModel(
+            model_id="huggingface/Qwen/Qwen2.5-72B-Instruct",
+            api_key=hf_token 
+        )
         
         self.tools = [DuckDuckGoSearchTool(), VisitWebpageTool()]
         
@@ -44,7 +48,6 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
 
     try:
         agent_instance = AgentArchitect()
-        
         response = requests.get(questions_url, timeout=15)
         response.raise_for_status()
         questions_data = response.json()
@@ -55,9 +58,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         for item in questions_data:
             task_id = item.get("task_id")
             question_text = item.get("question")
-            
             submitted_answer = agent_instance(question_text)
-            
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})