Update app.py

app.py

@@ -4,6 +4,9 @@ import requests
 import inspect
 import pandas as pd
 
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from tools.final_answer import FinalAnswerTool
+
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -11,13 +14,43 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
+    agent
+    
     def __init__(self):
+        final_answer = FinalAnswerTool()
+        
+        # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
+        # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
+        
+        model = HfApiModel(
+        max_tokens=2096,
+        temperature=0.5,
+        model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', #Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
+        custom_role_conversions=None,
+        )
+        
+        with open("prompts.yaml", 'r') as stream:
+            prompt_templates = yaml.safe_load(stream)
+            
+        self.agent = CodeAgent(
+            model=model,
+            tools=[final_answer], ## add your tools here (don't remove final answer)
+            max_steps=6,
+            verbosity_level=1,
+            grammar=None,
+            planning_interval=None,
+            name=None,
+            description=None,
+            prompt_templates=prompt_templates
+        )
+        
         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."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        answer = self.agent.run(question)
+        print(f"Agent returning answer: {answer}")
+        return answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """