Update app.py

app.py

@@ -3,7 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, PythonInterpreterTool, Tool, tool, VisitWebpageTool, LiteLLMModel, ToolCallingAgent
+from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, PythonInterpreterTool, VisitWebpageTool, LiteLLMModel
 from groq import Groq
 import time
 
@@ -20,7 +20,7 @@ GROQ_KEY = os.environ['GROQ_KEY']
 class LLaMaAgent:
     def __init__(self):
         self.model = model = LiteLLMModel(
-                "llama-3.3-70b-versatile",
+                "meta-llama/llama-4-scout-17b-16e-instruct",
                 api_base="https://api.groq.com/openai/v1",
                 api_key=GROQ_KEY,
             )
@@ -146,21 +146,18 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
-        time.sleep(30)
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            if idx < 10:
-                submitted_answer = llama(question_text)
-            else:
-                submitted_answer = compound(question_text)
+            submitted_answer = llama(question_text)
             print(f"\n\n### Answer{submitted_answer} ###\n\n")
             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"Error running agent on task {task_id}: {e}")
              results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+        time.sleep(90)
 
     if not answers_payload:
         print("Agent did not produce any answers to submit.")