Update app.py

app.py

@@ -46,48 +46,8 @@ class BasicAgent:
         
     def __call__(self, question: str) -> str:
         #return asyncio.run(self.run(question))
-        return self.run(question)
-        #return self.agent.run(question)
-
-
-async def smart_agent(questions_data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-    print("BasicAgent initialized.")
-    api_key = os.getenv("HF_TOKEN")
-    llm = HuggingFaceInferenceAPI(
-        model_name="deepseek-ai/DeepSeek-R1-0528", 
-        token=api_key,
-        provider="auto"
-        )
-    
-    llamaindex_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,
-    )
-
-    results_log = []
-    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:
-            submitted_answer = await  llamaindex_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)
-
-    
-    print("✅ All tasks completed.")
-    return answers_payload
+        #return self.run(question)
+        return self.agent.run(question)
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -109,11 +69,11 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     submit_url = f"{api_url}/submit"
 
     # 1. Instantiate Agent ( modify this part to create your agent)
-    # try:
-    #     agent = BasicAgent()
-    # except Exception as e:
-    #     print(f"Error instantiating agent: {e}")
-    #     return f"Error initializing agent: {e}", None
+    try:
+        agent = BasicAgent()
+    except Exception as e:
+        print(f"Error instantiating agent: {e}")
+        return f"Error initializing agent: {e}", None
     #In the case of an app running as a hugging Face space, this link points toward your codebase ( usefull for others so please keep it public)
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
@@ -163,25 +123,24 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     #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
-
-    #answers_payload = asyncio.run(run_all_questions(questions_data))
-    answers_payload = asyncio.run(smart_agent(questions_data))
+    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))
     
     #3B