Update app.py

app.py

@@ -144,7 +144,80 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             results_log.append({
                 "Task ID": task_id,
                 "Question": item.get("question", ""),
-                "Submi
+                "Submitted Answer": error_msg
+            })
+
+    if not answers_payload:
+        return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
+
+    submission_data = {
+        "username": username.strip(),
+        "agent_code": agent_code,
+        "answers": answers_payload
+    }
+
+    print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
+    try:
+        response = requests.post(submit_url, json=submission_data, timeout=60)
+        response.raise_for_status()
+        result_data = response.json()
+        final_status = (
+            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"
+            f"Message: {result_data.get('message', 'No message received.')}"
+        )
+        results_df = pd.DataFrame(results_log)
+        return final_status, results_df
+    except requests.exceptions.HTTPError as e:
+        try:
+            detail = e.response.json().get("detail", e.response.text)
+        except Exception:
+            detail = e.response.text[:500]
+        return f"Submission Failed: {detail}", pd.DataFrame(results_log)
+    except requests.exceptions.Timeout:
+        return "Submission Failed: The request timed out.", pd.DataFrame(results_log)
+    except Exception as e:
+        return f"An unexpected error occurred during submission: {e}", pd.DataFrame(results_log)
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("# Basic Agent Evaluation Runner")
+    gr.Markdown("""
+        **Instructions:**
+        1. Clone this space and define your agent and tools.
+        2. Log in to your Hugging Face account using the button below.
+        3. Click 'Run Evaluation & Submit All Answers' to test your agent and submit results.
+    """)
+
+    gr.LoginButton()
+    run_button = gr.Button("Run Evaluation & Submit All Answers")
+
+    status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
+    results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
+
+    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
+
+if __name__ == "__main__":
+    print("\n" + "-"*30 + " App Starting " + "-"*30)
+    space_host = os.getenv("SPACE_HOST")
+    space_id = os.getenv("SPACE_ID")
+
+    if space_host:
+        print(f"✅ SPACE_HOST found: {space_host}")
+        print(f"   Runtime URL should be: https://{space_host}.hf.space")
+    else:
+        print("ℹ️  SPACE_HOST not found.")
+
+    if space_id:
+        print(f"✅ SPACE_ID found: {space_id}")
+        print(f"   Repo URL: https://huggingface.co/spaces/{space_id}")
+    else:
+        print("ℹ️  SPACE_ID not found.")
+
+    print("-"*(60 + len(" App Starting ")) + "\n")
+    demo.launch(debug=True, share=False)