update app

app.py

@@ -16,16 +16,11 @@ class BasicAgent:
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer
 
-def run_and_submit_all(profile: gr.OAuthProfile | None):
-    space_id = os.getenv("SPACE_ID")
-
-    if profile and profile.username:
-        username = profile.username
-        print(f"User logged in: {username}")
-    else:
-        print("User not logged in.")
-        return "Please Login to Hugging Face with the button.", None
+def run_and_submit_all(username: str):
+    if not username:
+        return "❌ Please enter your Hugging Face username.", None
 
+    space_id = os.getenv("SPACE_ID")
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
@@ -35,8 +30,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     except Exception as e:
         return f"Error initializing agent: {e}", None
 
-    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
-    print(agent_code)
+    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main" if space_id else "N/A"
 
     print(f"Fetching questions from: {questions_url}")
     try:
@@ -79,7 +73,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         response.raise_for_status()
         result_data = response.json()
         final_status = (
-            f"Submission Successful!\n"
+            f"✅ Submission Successful!\n"
             f"User: {result_data.get('username')}\n"
             f"Overall Score: {result_data.get('score', 'N/A')}% "
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
@@ -88,23 +82,21 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         results_df = pd.DataFrame(results_log)
         return final_status, results_df
     except Exception as e:
-        return f"Submission Failed: {e}", pd.DataFrame(results_log)
+        return f"❌ Submission Failed: {e}", pd.DataFrame(results_log)
 
-# --- Build Gradio Interface using Blocks ---
+# --- Gradio Interface ---
 with gr.Blocks() as demo:
     gr.Markdown("# Basic Agent Evaluation Runner")
     gr.Markdown(
         """
         **Instructions:**
-        1. Please clone this space, then modify the code to define your agent's logic, tools, etc.
-        2. Log in to Hugging Face using the button below.
-        3. Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and get your score.
+        1. Please enter your Hugging Face username below manually.
+        2. Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see your score.
         ---
         """
     )
 
-    gr.LoginButton()
-    user_profile = gr.OAuthProfile()
+    username_box = gr.Textbox(label="Your Hugging Face Username (for submission)", placeholder="e.g. johndoe")
 
     run_button = gr.Button("Run Evaluation & Submit All Answers")
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
@@ -112,7 +104,7 @@ with gr.Blocks() as demo:
 
     run_button.click(
         fn=run_and_submit_all,
-        inputs=[user_profile],  # ✅ 关键：将登录信息传给函数
+        inputs=[username_box],
         outputs=[status_output, results_table]
     )