Update app.py

app.py

@@ -69,46 +69,46 @@ agent_codeagent = CodeAgent(
 )
 
 
-#def run_and_submit_one():
-    # 1. Instantiate Agent ( modify this part to create your agent)
-    try:
-        #agent = BasicAgent()
-        agent = agent_codeagent
+# #def run_and_submit_one():
+#     # 1. Instantiate Agent ( modify this part to create your agent)
+#     try:
+#         #agent = BasicAgent()
+#         agent = agent_codeagent
         
-    except Exception as e:
-        print(f"Error instantiating agent: {e}")
-        return f"Error initializing agent: {e}", None
+#     except Exception as e:
+#         print(f"Error instantiating agent: {e}")
+#         return f"Error initializing agent: {e}", None
     
-   # 2. Fetch Questions by loading from local json
-    status_message, questions_data = load_questions_from_file()
-
-    if questions_data is not None and len(questions_data) > 0:
-        first_question = questions_data[0]
-        print("First question object:", first_question)
-
-        #To test
-        question_text = first_question.get("question")
-        task_id = first_question.get("task_id")
-        print(f"\nTask ID: {task_id}")
-        print(f"Question: {question_text}")
-    else:
-        print("No data found.")
-
-    # 3. Run your Agent
-    results_log = []
-    answers_payload = []
-
-    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)
+#    # 2. Fetch Questions by loading from local json
+#     status_message, questions_data = load_questions_from_file()
+
+#     if questions_data is not None and len(questions_data) > 0:
+#         first_question = questions_data[0]
+#         print("First question object:", first_question)
+
+#         #To test
+#         question_text = first_question.get("question")
+#         task_id = first_question.get("task_id")
+#         print(f"\nTask ID: {task_id}")
+#         print(f"Question: {question_text}")
+#     else:
+#         print("No data found.")
+
+#     # 3. Run your Agent
+#     results_log = []
+#     answers_payload = []
+
+#     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)
 
 #run_and_submit_one()