Update app.py

app.py

@@ -43,8 +43,8 @@ class BasicAgent:
         return answer
         
     def __call__(self, question: str) -> str:
-        return asyncio.run(self.run(question))
-        #return self.run(question)
+        #return asyncio.run(self.run(question))
+        return self.agent.run(question)
         #print(f"Agent received question (first 50 chars): {question[:50]}...")
         #fixed_answer = "This is a default answer."
         #fixed_answer = self.llamaindex_agent.run(question)
@@ -105,23 +105,45 @@ 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
+    async def run_all_questions(agent, 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(agent, questions_data))
+    
+    #3B
 
     # 4. Prepare Submission 
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}