Update space

app.py

@@ -3,6 +3,8 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from smolagents import CodeAgent, LiteLLMModel
+from smolagents import DuckDuckGoSearchTool
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -12,10 +14,25 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
+        model = LiteLLMModel(model_id="gemini/gemini-2.0-flash",
+                     api_key="AIzaSyBMxALkrYySCViP-bDiynko92w8AAv4M2o")
+        
+        # Initialize the web search tool
+        search_tool = DuckDuckGoSearchTool()
+
+        # Create an agent with no tools
+        self.agent = CodeAgent(
+            tools=[search_tool], 
+            model=model,
+            add_base_tools=True,
+            planning_interval=3
+            )
+
         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 = self.agent.run(question)
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer
 
@@ -193,4 +210,7 @@ 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)    
+    print("Gradio Interface launched successfully.")
+    print("You can now interact with the Basic Agent Evaluation Runner.")
+    print("Please follow the instructions in the interface to run your agent and submit answers.")

requirements.txt

@@ -1,2 +1,13 @@
-gradio
-requests
+Authlib==1.6.0
+duckduckgo_search==8.0.4
+fastapi==0.115.13
+gradio==5.34.2
+gradio_client==1.10.3
+huggingface-hub==0.33.0
+litellm==1.73.1
+numpy
+openai
+pandas
+pydantic
+requests
+smolagents