Update app.py

app.py

@@ -3,34 +3,27 @@ import gradio as gr
 import requests
 import pandas as pd
 
-# -------------------------
-# Constants
-# -------------------------
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # -------------------------
-# Basic Agent Definition
+# Basic GAIA Agent
 # -------------------------
 class BasicAgent:
-    """Your GAIA Agent logic can go here."""
     def __init__(self):
         print("BasicAgent initialized.")
 
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        # TODO: Replace with real agent logic
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        return "This is a default answer."  # TODO: Replace with real logic
 
 # -------------------------
 # Run & Submit Function
 # -------------------------
-def run_and_submit_all(profile: gr.OAuthProfile | None):
-    if profile is None:
+def run_and_submit_all(profile: dict | None):
+    if not profile:
         return "❌ Please login with your Hugging Face account.", None
 
-    username = profile.username
+    username = profile.get("username", "unknown_user")
     print(f"Logged in as: {username}")
 
     space_id = os.getenv("SPACE_ID", "unknown-space")
@@ -96,14 +89,11 @@ with gr.Blocks() as demo:
     )
 
     user_state = gr.State()
-    login_btn = gr.LoginButton()
+    login_btn = gr.LoginButton(outputs=user_state)  # <-- 這裡直接綁定 gr.State
     run_btn = gr.Button("🚀 Run Evaluation & Submit All Answers")
     status_box = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
 
-    # Login event stores profile in user_state
-    login_btn.login(lambda profile: profile, outputs=user_state)
-
     # Run button uses user_state as profile
     run_btn.click(run_and_submit_all, inputs=user_state, outputs=[status_box, results_table])