Update app.py

app.py

@@ -3,19 +3,18 @@ import gradio as gr
 import requests
 import pandas as pd
 
+from smolagents.models import InferenceClientModel
 from smolagents.agents import ToolCallingAgent
 
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 def create_agent():
-    """
-    Create a multi-tool agent with SmolAgents.
-    """
-    # You specify the tool names as strings!
+    # Create the model object for Hugging Face inference API
+    model = InferenceClientModel(repo_id="HuggingFaceH4/zephyr-7b-beta")
+    # Compose the agent, registering tool names (do not import them directly)
     agent = ToolCallingAgent(
         tools=["wikipedia", "duckduckgo", "web_search"],
-        model="huggingface",
-        model_kwargs={"repo_id": "HuggingFaceH4/zephyr-7b-beta"},
+        model=model
     )
     return agent
 
@@ -23,48 +22,35 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
     if profile:
         username = f"{profile.username}"
-        print(f"User logged in: {username}")
     else:
-        print("User not logged in.")
         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"
 
-    # Create agent with all relevant tools
     try:
         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"
-    print(agent_code)
 
-    # Fetch Questions
-    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:
-            print("Fetched questions list is empty.")
             return "Fetched questions list is empty or invalid format.", None
-        print(f"Fetched {len(questions_data)} questions.")
-    except requests.exceptions.RequestException as e:
-        return f"Error fetching questions: {e}", None
     except Exception as e:
-        return f"An unexpected error occurred fetching questions: {e}", None
+        return f"Error fetching questions: {e}", None
 
-    # Run the agent on all questions
     results_log = []
     answers_payload = []
-    print(f"Running agent on {len(questions_data)} questions...")
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
         if not task_id or question_text is None:
-            print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
             submitted_answer = agent(question_text)
@@ -81,11 +67,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         "agent_code": agent_code,
         "answers": answers_payload
     }
-    status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
-    print(status_update)
 
-    # Submit answers
-    print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
@@ -104,17 +86,14 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
 
-# --- Gradio UI ---
 with gr.Blocks() as demo:
     gr.Markdown("# SmolAgent Evaluation Runner")
     gr.Markdown(
         """
         **Instructions:**
-        
         - Clone and modify this space to improve your agent logic as you see fit.
         - Log in to your Hugging Face account with the button below.
         - Click 'Run Evaluation & Submit All Answers' to begin.
-
         Disclaimer: Submission may take a while depending on the number of questions and agent speed.
         """
     )
@@ -132,20 +111,17 @@ if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)
     space_host_startup = os.getenv("SPACE_HOST")
     space_id_startup = os.getenv("SPACE_ID")
-
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")
         print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")
     else:
         print("ℹ️  SPACE_HOST not found (running locally?)")
-
     if space_id_startup:
         print(f"✅ SPACE_ID found: {space_id_startup}")
         print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
         print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
     else:
         print("ℹ️  SPACE_ID not found")
-
     print("-"*(60 + len(" App Starting ")) + "\n")
     print("Launching Gradio Interface for SmolAgent Evaluation...")
     demo.launch(debug=True, share=False)