Update app.py

app.py

@@ -46,32 +46,6 @@ class BasicAgent:
         return self.run(question)
         #return self.agent.run(question)
 
-
-
-
-
-
-
-
-# START MY CODE
-
-# print("BasicAgent initialized.")
-# api_key = os.getenv("HF_TOKEN")
-# llm = HuggingFaceInferenceAPI(
-#     model_name="deepseek-ai/DeepSeek-R1-0528",
-#     token=api_key,
-#     provider="auto",
-#     max_iterations=10,
-#     max_execution_time=60
-# )
-# agent = AgentWorkflow.from_tools_or_functions(
-#     [wikipedia_search_tool, youtube_transcript_tool, youtube_transcript_snippet_tool, 
-#      round_to_two_decimals_tool, text_inverter_tool, google_web_search_tool],
-#     llm=llm
-# )
-
-# END MY CODE
-
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
@@ -145,22 +119,29 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     #     return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
     #3A
-    async 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 = await 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
+    question_text = questions_data[0].get("question")
+    task_id = questions_data[0].get("task_id")
+    print(f"Processing my question 0 : : : : : : :")
+    agent.run(question_text)
+    print(f"Answered Task {task_id}: {answer[:50]}...")
+    answers_payload = []
+    answers_payload.append({"task_id": task_id, "submitted_answer": answer})
+    # async 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 = await 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))