implemented simple web search logic

.gitignore

@@ -0,0 +1,3 @@
+.env
+venv/
+__pycache__/

app.py

@@ -1,8 +1,11 @@
 import os
-import gradio as gr
 import requests
-import inspect
 import pandas as pd
+import gradio as gr
+from dotenv import load_dotenv
+from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel
+
+load_dotenv()
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -13,11 +16,21 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
+        search_tool = DuckDuckGoSearchTool()
+        model = InferenceClientModel()
+        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
+        # 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
+        response = self.agent.run(question)
+        return str(response) # run returns an object, we must cast it to str
+
+        
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """

requirements.txt

@@ -1,2 +1,3 @@
 gradio
-requests
+requests
+smolagents