Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from smolagents import OpenAIServerModel, DuckDuckGoSearchTool, CodeAgent, WikipediaSearchTool
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,12 +11,24 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+
 class BasicAgent:
+    ## modelo gpt-4o-mini, capacidad superior para el resultado
     def __init__(self):
+        self.agent = CodeAgent(
+            model=OpenAIServerModel(
+                model_id="gpt-4.1-mini-2025-04-14",
+                api_key="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"
+            ),
+            ## tools añadidas al agente de smolagents
+            tools=[DuckDuckGoSearchTool(), WikipediaSearchTool()],
+            add_base_tools=True,
+        )
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
+        # fixed_answer = "This is a default answer."
+        fixed_answer = self.agent.run(question)
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer
 
@@ -146,11 +159,9 @@ with gr.Blocks() as demo:
     gr.Markdown(
         """
         **Instructions:**
-
         1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
         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.
-
         ---
         **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).