Update app.py

app.py

@@ -392,3 +392,76 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             time.sleep(0.2)  # polite pause to avoid hammering external services
         except Exception as e:
             results
+        except Exception as e:
+            results_log.append({
+                "Task ID": task_id,
+                "Question": question_text,
+                "Submitted Answer": f"ERROR: {e}"
+            })
+
+    if not answers_payload:
+        return "Agent did not produce any answers.", pd.DataFrame(results_log)
+
+    submission_data = {
+        "username": username.strip(),
+        "agent_code": agent_code,
+        "answers": answers_payload
+    }
+
+    try:
+        resp = requests.post(
+            submit_url,
+            json=submission_data,
+            headers=USER_AGENT,
+            timeout=60
+        )
+        resp.raise_for_status()
+        result = resp.json()
+        final_status = (
+            f"Submission Successful!\n"
+            f"User: {result.get('username')}\n"
+            f"Overall Score: {result.get('score', 'N/A')}% "
+            f"({result.get('correct_count', '?')}/{result.get('total_attempted', '?')} correct)\n"
+            f"Message: {result.get('message', '')}"
+        )
+        return final_status, pd.DataFrame(results_log)
+
+    except requests.exceptions.HTTPError as e:
+        try:
+            body = e.response.json()
+            detail = body.get("detail") or json.dumps(body)[:400]
+        except Exception:
+            detail = e.response.text[:400]
+        return f"Submission Failed: HTTP {e.response.status_code} - {detail}", pd.DataFrame(results_log)
+    except Exception as e:
+        return f"Submission Failed: {e}", pd.DataFrame(results_log)
+
+
+
+# ------------------------------
+# Gradio UI
+# ------------------------------
+with gr.Blocks() as demo:
+    gr.Markdown("# Level-2 Agent (Rule-based + Wiki/File Tools)")
+    gr.Markdown("Duplicate this space, make it public, then login and press **Run Evaluation & Submit All Answers**.")
+
+    gr.LoginButton()
+
+    run_button = gr.Button("Run Evaluation & Submit All Answers")
+
+    status_output = gr.Textbox(
+        label="Run Status / Submission Result",
+        lines=6,
+        interactive=False
+    )
+    results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
+
+    run_button.click(
+        fn=run_and_submit_all,
+        inputs=[],
+        outputs=[status_output, results_table]
+    )
+
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))