Update app.py

app.py

@@ -33,7 +33,7 @@ class BasicAgent:
         if not gemini_api_key:
             raise ValueError("GEMINI_API_KEY environment variable not set")
         self.model = LiteLLMModel(
-            model_id="gemini/gemini-2.0-flash",
+            model_id="gemini/gemini-1.5-flash",
             api_key=gemini_api_key,
         )
         self.tools = [
@@ -48,17 +48,26 @@ class BasicAgent:
             max_steps=8,
             additional_authorized_imports=["datetime", "re", "json", "math", "collections"],
         )
-        print("BasicAgent ready with Gemini 2.0 Flash (CodeAgent).")
+        print("BasicAgent ready with Gemini 1.5 Flash (CodeAgent).")
 
     def __call__(self, question: str) -> str:
         print(f"Agent received question: {question[:80]}...")
-        try:
-            answer = self.agent.run(question)
-            print(f"Agent answer: {str(answer)[:200]}")
-            return str(answer)
-        except Exception as e:
-            print(f"Agent error: {e}")
-            return f"Error: {str(e)}"
+        max_retries = 3
+        for attempt in range(max_retries):
+            try:
+                answer = self.agent.run(question)
+                print(f"Agent answer: {str(answer)[:200]}")
+                return str(answer)
+            except Exception as e:
+                err = str(e)
+                if "429" in err or "rate_limit" in err.lower() or "quota" in err.lower():
+                    wait_time = 30 * (attempt + 1)
+                    print(f"Rate limit hit, waiting {wait_time}s before retry {attempt+1}/{max_retries}...")
+                    time.sleep(wait_time)
+                else:
+                    print(f"Agent error: {e}")
+                    return f"Error: {err}"
+        return "Error: Rate limit exceeded after retries"
 
 
 # --- The rest of the code (keep as-is) ---
@@ -106,7 +115,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         except Exception as e:
             print(f"Error on task {task_id}: {e}")
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"ERROR: {e}"})
-        time.sleep(1)
+        time.sleep(3)
     if not answers_payload:
         return "No answers.", pd.DataFrame(results_log)
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}