Update app.py

app.py

@@ -4,23 +4,18 @@ import requests
 import inspect
 import pandas as pd
 
-# On importe l'agent depuis le bon fichier !
 from agent import BasicAgent
 
-# (Keep Constants as is)
-# --- Constants ---
+# Constants
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Basic Agent Definition ---
-# ON A SUPPRIMÉ L'ANCIENNE CLASSE BasicAgent D'ICI.
-# C'EST MAINTENANT GÉRÉ PAR L'IMPORT CI-DESSUS.
 
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
     and displays the results.
     """
-    # --- Determine HF Space Runtime URL and Repo URL ---
+    # Determine HF Space Runtime URL and Repo URL
     space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
 
     if profile:
@@ -34,7 +29,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
 
-    # 1. Instantiate Agent
+    # Instantiate Agent
     try:
         agent = BasicAgent()
     except Exception as e:
@@ -44,7 +39,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
 
-    # 2. Fetch Questions
+    # Fetch Questions
     print(f"Fetching questions from: {questions_url}")
     try:
         response = requests.get(questions_url, timeout=15)
@@ -64,7 +59,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
 
-    # 3. Run your Agent
+    # Run your Agent
     results_log = []
     answers_payload = []
     print(f"Running agent on {len(questions_data)} questions...")
@@ -86,12 +81,12 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         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
+    # 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(status_update)
 
-    # 5. Submit
+    # Submit
     print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
@@ -125,7 +120,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         return status_message, results_df
 
 
-# --- Build Gradio Interface using Blocks ---
+# Build Gradio Interface using Blocks
 with gr.Blocks() as demo:
     gr.Markdown("# Basic Agent Evaluation Runner")
     gr.Markdown(
@@ -146,13 +141,8 @@ with gr.Blocks() as demo:
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
 
-    # REMOVED the gr.State and the incorrect .login()/.logout() calls
-
-    # La fonction `run_and_submit_all` est liée au clic du bouton.
-    # Gradio passe automatiquement l'objet `profile` depuis `login_button` à la fonction.
     run_button.click(
         fn=run_and_submit_all,
-        # inputs=[login_button],
         outputs=[status_output, results_table]
     )