Update app.py

app.py

@@ -3,21 +3,48 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel
 
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
+# --- SmolaAgent Implementation ---
+# ----- THIS IS WHERE YOU CAN BUILD WHAT YOU WANT ------
+class SmolaAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        print("SmolaAgent initialized.")
+        try:
+            # Initialize the CodeAgent with DuckDuckGoSearchTool and InferenceClientModel
+            self.agent = CodeAgent(
+                tools=[DuckDuckGoSearchTool()], 
+                model=InferenceClientModel(),
+                add_base_tools=True,  # Add additional base tools like web search
+                verbosity_level=1     # Show some debug information
+            )
+            print("CodeAgent successfully initialized with DuckDuckGoSearchTool.")
+        except Exception as e:
+            print(f"Error initializing CodeAgent: {e}")
+            # Fallback to a simple agent if initialization fails
+            self.agent = None
+    
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        
+        if self.agent is None:
+            fallback_answer = "Agent initialization failed, providing fallback response."
+            print(f"Agent returning fallback answer: {fallback_answer}")
+            return fallback_answer
+        
+        try:
+            # Use the CodeAgent to process the question
+            result = self.agent.run(question)
+            print(f"Agent returning result: {str(result)[:100]}...")
+            return str(result)
+        except Exception as e:
+            error_message = f"Error running agent: {str(e)}"
+            print(error_message)
+            return error_message
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -36,11 +63,9 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
-    submit_url = f"{api_url}/submit"
-
-    # 1. Instantiate Agent ( modify this part to create your agent)
+    submit_url = f"{api_url}/submit"    # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        agent = BasicAgent()
+        agent = SmolaAgent()
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
@@ -142,7 +167,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner")
+    gr.Markdown("# SmolaAgent Evaluation Runner")
     gr.Markdown(
         """
         **Instructions:**
@@ -151,6 +176,12 @@ with gr.Blocks() as demo:
         2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
         3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
 
+        **Agent Details:**
+        - Uses **smolagents** library with **CodeAgent**
+        - Equipped with **DuckDuckGoSearchTool** for web search capabilities
+        - Powered by **InferenceClientModel** for advanced reasoning
+        - Includes base tools for enhanced functionality
+        
         ---
         **Disclaimers:**
         Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
@@ -192,5 +223,5 @@ if __name__ == "__main__":
 
     print("-"*(60 + len(" App Starting ")) + "\n")
 
-    print("Launching Gradio Interface for Basic Agent Evaluation...")
+    print("Launching Gradio Interface for SmolaAgent Evaluation...")
     demo.launch(debug=True, share=False)