trying things

app.py

@@ -179,60 +179,36 @@ class BasicAgent:
 
 # --- Evaluation Logic ---
 def run_and_submit_all(profile: gr.OAuthProfile | None):
-    space_id = os.getenv("SPACE_ID")
-    if profile:
-        username = profile.username
-        print(f"User logged in: {username}")
-    else:
-        return "Please Login to Hugging Face with the button.", None
-
-    api_url = DEFAULT_API_URL
-    questions_url = f"{api_url}/questions"
-    submit_url = f"{api_url}/submit"
-    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
-
+    #...
     try:
         agent = BasicAgent()
+        print("Agent initialized successfully.")
     except Exception as e:
+        print(f"Error initializing agent: {e}")
         return f"Error initializing agent: {e}", None
 
-    try:
-        response = requests.get(questions_url, timeout=15)
-        response.raise_for_status()
-        questions_data = response.json()
-        if not questions_data:
-            return "Fetched questions list is empty or invalid format.", None
-    except Exception as e:
-        return f"Error fetching questions: {e}", None
-
-    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"Invalid question: {item}")
             continue
         try:
             submitted_answer = agent(question_text)
+            print(f"Submitted answer for task {task_id}: {submitted_answer}")
             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 processing question {task_id}: {e}")
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
 
-    if not answers_payload:
-        return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
-
-    submission_data = {
-        "username": username.strip(),
-        "agent_code": agent_code,
-        "answers": answers_payload
-    }
-
+    #...
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
         result_data = response.json()
+        print(f"Submission response: {result_data}")
         final_status = (
             f"Submission Successful!\n"
             f"User: {result_data.get('username')}\n"
@@ -242,25 +218,5 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         )
         return final_status, pd.DataFrame(results_log)
     except Exception as e:
-        return f"Submission Failed: {e}", pd.DataFrame(results_log)
-
-# --- Gradio UI ---
-with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner")
-    gr.Markdown(
-        """
-        **Instructions:**
-        1. Clone and customize your agent logic.
-        2. Log in with Hugging Face.
-        3. Click the button to run evaluation and submit your answers.
-        """
-    )
-    gr.LoginButton()
-    run_button = gr.Button("Run Evaluation & Submit All Answers")
-    status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
-    results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
-    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
-
-if __name__ == "__main__":
-    print("Launching Gradio Interface...")
-    demo.launch(debug=True, share=False)
+        print(f"Submission failed: {e}")
+        return f"Submission failed: {e}", pd.DataFrame(results_log)