a

app.py

@@ -1,8 +1,8 @@
 import os
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
+from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +10,19 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        model = InferenceClientModel("deepseek-ai/DeepSeek-V3")
+        search_tool = DuckDuckGoSearchTool()
+
+        self.agent = CodeAgent(
+            model=model,
+            tools=[search_tool]
+        )
+
     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
+        return str(self.agent.run(question))
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -91,7 +96,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
-    # 4. Prepare Submission 
+    # 4. Prepare Submission
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
     print(status_update)
@@ -193,4 +198,4 @@ if __name__ == "__main__":
     print("-"*(60 + len(" App Starting ")) + "\n")
 
     print("Launching Gradio Interface for Basic Agent Evaluation...")
-    demo.launch(debug=True, share=False)
+    demo.launch(debug=True, share=False)