Update app.py

app.py

@@ -2,21 +2,15 @@ import os
 import gradio as gr
 import requests
 import pandas as pd
-from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
+from smolagents import CodeAgent, DuckDuckGoSearchTool, ApiModel  # 
 
-# --- Constants ---
-DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
-import gradio as gr
-import requests
-import pandas as pd
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Agent Definition ---
-# This defines the "Brain" and "Tools" for your agent
 def create_agent():
     # We use Qwen2.5-Coder as the brain 🧠
-    model = HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct")
+    model = ApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct")  #
     
     # We give it the search tool so it can find answers on the web 🔍
     search_tool = DuckDuckGoSearchTool()
@@ -27,28 +21,29 @@ def create_agent():
         model=model,
         additional_authorized_imports=["requests", "pandas", "numpy", "time", "re", "math"]
     )
+    
     return agent
 
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
+    
     if profile:
         username = f"{profile.username}"
     else:
         return "Please Login to Hugging Face with the button.", None
-
+    
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
-
+    
     # 1. Instantiate the real Agent
     try:
-        # Instead of BasicAgent(), we run the run() method of our CodeAgent
         smol_agent = create_agent()
     except Exception as e:
         return f"Error initializing agent: {e}", None
-
+    
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
-
+    
     # 2. Fetch Questions
     try:
         response = requests.get(questions_url, timeout=15)
@@ -56,7 +51,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         questions_data = response.json()
     except Exception as e:
         return f"Error fetching questions: {e}", None
-
+    
     # 3. Run your Agent
     results_log = []
     answers_payload = []
@@ -72,9 +67,10 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": str(submitted_answer)})
         except Exception as e:
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"ERROR: {e}"})
-
+    
     # 4. Submit
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
+    
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
@@ -91,7 +87,6 @@ with gr.Blocks() as demo:
     run_button = gr.Button("Run Evaluation & Submit All Answers")
     status_output = gr.Textbox(label="Status", lines=5)
     results_table = gr.DataFrame(label="Results", wrap=True)
-    
     run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
 
 if __name__ == "__main__":