Update app.py

app.py

@@ -3,8 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
-from llama_index.core.agent.workflow import AgentWorkflow, ToolCallResult, AgentStream
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, FinalAnswerTool, HfApiModel
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -12,8 +11,13 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+model = HfApiModel(
+    model_id="Qwen/Qwen3-235B-A22B"
+)
+
 class BasicAgent:
     def __init__(self):
+        self.agent = CodeAgent(tools=[DuckDuckGoSearchTool(),subtract, multiply, divide, add], model=model)
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
@@ -61,17 +65,19 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        llm = HuggingFaceInferenceAPI(model_name="Qwen/Qwen2.5-Coder-32B-Instruct")
+        agent = BasicAgent()
         
-        agent = AgentWorkflow.from_tools_or_functions(
-            tools_or_functions=[subtract, multiply, divide, add],
-            llm=llm,
-            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.",
-        )
+        #llm = HuggingFaceInferenceAPI(model_name="Qwen/Qwen2.5-Coder-32B-Instruct")
+        # 
+        # agent = AgentWorkflow.from_tools_or_functions(
+        #     tools_or_functions=[subtract, multiply, divide, add],
+        #     llm=llm,
+        #     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.",
+        # )
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None