Ajout debug dans app

app.py

@@ -11,7 +11,7 @@ import json
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-def run_and_submit_all( profile: gr.OAuthProfile | None):
+def run_and_submit_all( profile: gr.OAuthProfile | None, question_limit: int | None = None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
     and displays the results.
@@ -65,7 +65,17 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     results_log = []
     answers_payload = []
     print(f"Running agent on {len(questions_data)} questions...")
+    limit = None
+    if question_limit is not None:
+        try:
+            limit = max(1, int(question_limit))
+        except:
+            print("Invalid question limit")
+    count = 0
     for item in questions_data:
+        if limit is not None and count >= limit:
+            break
+        count += 1
         task_id = item.get("task_id")
         question_text = item.get("question")
         if not task_id or question_text is None:
@@ -157,6 +167,7 @@ with gr.Blocks() as demo:
     gr.LoginButton()
 
     run_button = gr.Button("Run Evaluation & Submit All Answers")
+    run_button_check = gr.Button("Run only the first question to check that everything works")
 
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     # Removed max_rows=10 from DataFrame constructor
@@ -164,6 +175,12 @@ with gr.Blocks() as demo:
 
     run_button.click(
         fn=run_and_submit_all,
+        inputs=[gr.State(20)],
+        outputs=[status_output, results_table]
+    )
+    run_button_check.click(
+        fn=run_and_submit_all,
+        intputs=[gr.State(1)],
         outputs=[status_output, results_table]
     )