Update app.py to run locally

app.py

@@ -106,6 +106,17 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
 
+
+
+
+
+    questions_data = [
+        {
+            "task_id": 1,
+            "question": "What is the outcome of 12 squared?"
+        },
+    ]
+
     # 3. Run your Agent
     results_log = []
     answers_payload = []
@@ -132,49 +143,83 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
     print(status_update)
+    results_df = pd.DataFrame(results_log)
+    print(results_df)
 
-    # 5. Submit
-    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.')}"
-        )
-        print("Submission successful.")
-        results_df = pd.DataFrame(results_log)
-        return final_status, results_df
-    except requests.exceptions.HTTPError as e:
-        error_detail = f"Server responded with status {e.response.status_code}."
-        try:
-            error_json = e.response.json()
-            error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
-        except requests.exceptions.JSONDecodeError:
-            error_detail += f" Response: {e.response.text[:500]}"
-        status_message = f"Submission Failed: {error_detail}"
-        print(status_message)
-        results_df = pd.DataFrame(results_log)
-        return status_message, results_df
-    except requests.exceptions.Timeout:
-        status_message = "Submission Failed: The request timed out."
-        print(status_message)
-        results_df = pd.DataFrame(results_log)
-        return status_message, results_df
-    except requests.exceptions.RequestException as e:
-        status_message = f"Submission Failed: Network error - {e}"
-        print(status_message)
-        results_df = pd.DataFrame(results_log)
-        return status_message, results_df
-    except Exception as e:
-        status_message = f"An unexpected error occurred during submission: {e}"
-        print(status_message)
-        results_df = pd.DataFrame(results_log)
-        return status_message, results_df
+
+
+
+        
+
+    # # 3. Run your Agent
+    # results_log = []
+    # answers_payload = []
+    # print(f"Running agent on {len(questions_data)} questions...")
+    # for item in questions_data:
+    #     task_id = item.get("task_id")
+    #     question_text = item.get("question")
+    #     if not task_id or question_text is None:
+    #         print(f"Skipping item with missing task_id or question: {item}")
+    #         continue
+    #     try:
+    #         submitted_answer = agent(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})
+    #     except Exception as e:
+    #          print(f"Error running agent on task {task_id}: {e}")
+    #          results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+
+    # if not answers_payload:
+    #     print("Agent did not produce any answers to submit.")
+    #     return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
+
+    # # 4. Prepare Submission 
+    # submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
+    # status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
+    # print(status_update)
+
+    # # 5. Submit
+    # 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.')}"
+    #     )
+    #     print("Submission successful.")
+    #     results_df = pd.DataFrame(results_log)
+    #     return final_status, results_df
+    # except requests.exceptions.HTTPError as e:
+    #     error_detail = f"Server responded with status {e.response.status_code}."
+    #     try:
+    #         error_json = e.response.json()
+    #         error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
+    #     except requests.exceptions.JSONDecodeError:
+    #         error_detail += f" Response: {e.response.text[:500]}"
+    #     status_message = f"Submission Failed: {error_detail}"
+    #     print(status_message)
+    #     results_df = pd.DataFrame(results_log)
+    #     return status_message, results_df
+    # except requests.exceptions.Timeout:
+    #     status_message = "Submission Failed: The request timed out."
+    #     print(status_message)
+    #     results_df = pd.DataFrame(results_log)
+    #     return status_message, results_df
+    # except requests.exceptions.RequestException as e:
+    #     status_message = f"Submission Failed: Network error - {e}"
+    #     print(status_message)
+    #     results_df = pd.DataFrame(results_log)
+    #     return status_message, results_df
+    # except Exception as e:
+    #     status_message = f"An unexpected error occurred during submission: {e}"
+    #     print(status_message)
+    #     results_df = pd.DataFrame(results_log)
+    #     return status_message, results_df
 
 
 # --- Build Gradio Interface using Blocks ---