Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+import time
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -51,6 +52,20 @@ class BasicAgent:
         except Exception as e:
             return f"[{self.agent_name} Error: {e}]"
     
+def safe_run_agent(agent, question, idx, total, max_retries=3):
+    tries = 0
+    while tries < max_retries:
+        try:
+            return agent(question, idx, total)
+        except Exception as e:
+            if "RateLimitError" in str(e) or "rate limit" in str(e).lower():
+                wait_time = 30 + tries * 10
+                print(f"Rate limit hit, sleeping {wait_time}s before retry... (try {tries+1}/{max_retries})")
+                time.sleep(wait_time)
+                tries += 1
+            else:
+                return f"[Agent Error: {e}]"
+    return "[Agent Error: Rate limit retries exceeded]"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -106,17 +121,18 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     results_log = []
     answers_payload = []
     print(f"Running agent on {len(questions_data)} questions...")
-    for idx, item in enumerate(questions_data):
+    for idx, item in enumerate(questions_data[:3]):
         task_id = item.get("task_id")
         question_text = item.get("question")
         print(f"===== [Celum is answering No. {idx+1}/{len(questions_data)} ] =====")
         try:
-            submitted_answer = agent(question_text, idx, len(questions_data))
+            submitted_answer = safe_run_agent(agent, question_text, idx, len(questions_data))
             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"[Celum Error at Q{idx+1}]: {e}")
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+        time.sleep(7)
 
     if not answers_payload:
         print("Agent did not produce any answers to submit.")
@@ -135,7 +151,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         result_data = response.json()
         final_status = (
             f"Submission Successful!\n"
-            f"AI: {result_data.get('self.agent_name')}\n"
+            f"AI: Celum\n"
             f"Overall Score: {result_data.get('score', 'N/A')}% "
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
             f"Message: {result_data.get('message', 'No message received.')}"