Update app.py

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from smolagents import DuckDuckGoSearchTool, CodeAgent, LiteLLMModel, FinalAnswerTool
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -13,11 +14,28 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
+        self.system_prompt = "You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string."
+        self.template_prompt = "{system_prompt}\n\nQuestion: {question}"
+
+        search_tool = DuckDuckGoSearchTool(max_results=5)
+        final_answer = FinalAnswerTool()
+        model = LiteLLMModel(model_id=os.getenv("MODEL_ID"))
+
+        self.agent = CodeAgent(
+            tools=[search_tool, final_answer], 
+            model=model,
+            max_steps=6,
+            verbosity_level=1,
+            grammar=None,
+            planning_interval=None,
+            name=None,
+            description=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
+        answer = agent.run(self.template_prompt.format(system_prompt=self.system_prompt, question=question))
+        print(f"Agent returning answer: {answer}")
+        return answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """