Update app.py

Added some code

app.py

@@ -7,13 +7,16 @@ import pandas as pd
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+user_name = "rahulraj42"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
+        print(f"{user_name}")
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
+        print(f"{user_name}")
         print(f"Agent received question (first 50 chars): {question[:50]}...")
         fixed_answer = "This is a default answer."
         print(f"Agent returning fixed answer: {fixed_answer}")
@@ -29,8 +32,10 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     if profile:
         username= f"{profile.username}"
+        print(f"{user_name}")
         print(f"User logged in: {username}")
     else:
+        print(f"{user_name}")
         print("User not logged in.")
         return "Please Login to Hugging Face with the button.", None
 
@@ -42,10 +47,12 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     try:
         agent = BasicAgent()
     except Exception as e:
+        print(f"{user_name}")
         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(f"{user_name}")
     print(agent_code)
 
     # 2. Fetch Questions
@@ -55,28 +62,35 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         response.raise_for_status()
         questions_data = response.json()
         if not questions_data:
+             print(f"{user_name}")
              print("Fetched questions list is empty.")
              return "Fetched questions list is empty or invalid format.", None
+        print(f"{user_name}")
         print(f"Fetched {len(questions_data)} questions.")
     except requests.exceptions.RequestException as e:
+        print(f"{user_name}")
         print(f"Error fetching questions: {e}")
         return f"Error fetching questions: {e}", None
     except requests.exceptions.JSONDecodeError as e:
-         print(f"Error decoding JSON response from questions endpoint: {e}")
-         print(f"Response text: {response.text[:500]}")
-         return f"Error decoding server response for questions: {e}", None
+        print(f"{user_name}")
+        print(f"Error decoding JSON response from questions endpoint: {e}")
+        print(f"Response text: {response.text[:500]}")
+        return f"Error decoding server response for questions: {e}", None
     except Exception as e:
+        print(f"{user_name}")
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
 
     # 3. Run your Agent
     results_log = []
     answers_payload = []
+    print(f"{user_name}")
     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"{user_name}")
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
@@ -84,19 +98,23 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             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}"})
+            print(f"{user_name}")
+            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(f"{user_name}")
         print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
     # 4. Prepare Submission 
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
+    print(f"{user_name}")
     print(status_update)
 
     # 5. Submit
+    print(f"{user_name}")
     print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
@@ -109,6 +127,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
             f"Message: {result_data.get('message', 'No message received.')}"
         )
+        print(f"{user_name}")
         print("Submission successful.")
         results_df = pd.DataFrame(results_log)
         return final_status, results_df
@@ -120,21 +139,25 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         except requests.exceptions.JSONDecodeError:
             error_detail += f" Response: {e.response.text[:500]}"
         status_message = f"Submission Failed: {error_detail}"
+        print(f"{user_name}")
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
     except requests.exceptions.Timeout:
         status_message = "Submission Failed: The request timed out."
+        print(f"{user_name}")
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
     except requests.exceptions.RequestException as e:
         status_message = f"Submission Failed: Network error - {e}"
+        print(f"{user_name}")
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
     except Exception as e:
         status_message = f"An unexpected error occurred during submission: {e}"
+        print(f"{user_name}")
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
@@ -172,25 +195,32 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
+    print(f"{user_name}")
     print("\n" + "-"*30 + " App Starting " + "-"*30)
     # Check for SPACE_HOST and SPACE_ID at startup for information
     space_host_startup = os.getenv("SPACE_HOST")
     space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
 
     if space_host_startup:
+        print(f"{user_name}")
         print(f"✅ SPACE_HOST found: {space_host_startup}")
         print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")
     else:
+        print(f"{user_name}")
         print("ℹ️  SPACE_HOST environment variable not found (running locally?).")
 
     if space_id_startup: # Print repo URLs if SPACE_ID is found
+        print(f"{user_name}")
         print(f"✅ SPACE_ID found: {space_id_startup}")
         print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
         print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
     else:
+        print(f"{user_name}")
         print("ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
 
+    print(f"{user_name}")
     print("-"*(60 + len(" App Starting ")) + "\n")
 
+    print(f"{user_name}")
     print("Launching Gradio Interface for Basic Agent Evaluation...")
     demo.launch(debug=True, share=False)