Add retry with backoff for 429 rate limit

app.py

@@ -134,17 +134,36 @@ 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
+    # 2. Fetch Questions (with retry + backoff for rate limits)
+    import time
     print(f"Fetching questions from: {questions_url}")
-    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
-        print(f"Fetched {len(questions_data)} questions.")
-    except Exception as e:
-        return f"Error fetching questions: {e}", None
+    questions_data = None
+    for attempt in range(5):
+        try:
+            response = requests.get(questions_url, timeout=15)
+            if response.status_code == 429:
+                wait = 30 * (attempt + 1)
+                print(f"Rate limited (429). Waiting {wait}s before retry {attempt+1}/5...")
+                time.sleep(wait)
+                continue
+            response.raise_for_status()
+            questions_data = response.json()
+            break
+        except requests.exceptions.HTTPError as e:
+            if e.response.status_code == 429:
+                wait = 30 * (attempt + 1)
+                print(f"Rate limited (429). Waiting {wait}s before retry {attempt+1}/5...")
+                time.sleep(wait)
+            else:
+                return f"Error fetching questions: {e}", None
+        except Exception as e:
+            return f"Error fetching questions: {e}", None
+
+    if questions_data is None:
+        return "Error: Still rate limited after multiple retries. Please wait a few minutes and try again.", None
+    if not questions_data:
+        return "Fetched questions list is empty or invalid format.", None
+    print(f"Fetched {len(questions_data)} questions.")
 
     # 3. Run Agent
     results_log = []