Update app.py

app.py

@@ -104,46 +104,45 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     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)
+    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)
 
     #3A
 
-    def run_all_questions(questions_data):
-        #--------------------------------------------------
-        answers_payload = []
-        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:
-                answer = agent.run(question_text)  # await coroutine
-                answers_payload.append({"task_id": task_id, "submitted_answer": answer})
-                print(f"Answered Task {task_id}: {answer[:50]}...")
-            except Exception as e:
-                answers_payload.append({"task_id": task_id, "submitted_answer": f"AGENT ERROR: {e}"})
-                print(f"Error on Task {task_id}: {e}")
-        return answers_payload
+    # def run_all_questions(questions_data):
+    #     answers_payload = []
+    #     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:
+    #             answer = agent.run(question_text)  # await coroutine
+    #             answers_payload.append({"task_id": task_id, "submitted_answer": answer})
+    #             print(f"Answered Task {task_id}: {answer[:50]}...")
+    #         except Exception as e:
+    #             answers_payload.append({"task_id": task_id, "submitted_answer": f"AGENT ERROR: {e}"})
+    #             print(f"Error on Task {task_id}: {e}")
+    #     return answers_payload
 
     #answers_payload = asyncio.run(run_all_questions(questions_data))
-    answers_payload = run_all_questions(questions_data)
+    #answers_payload = run_all_questions(questions_data)
     
     #3B