from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from bs4 import BeautifulSoup from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Tool to retrieve stock price from Yahoo Finance @tool def get_stock_price(ticker: str) -> str: """A tool that fetches the latest stock price for a given ticker symbol from Yahoo Finance. Args: ticker: A string representing the stock ticker symbol (e.g., "AAPL" for Apple). """ url = f"https://finance.yahoo.com/quote/{ticker}" headers = {"User-Agent": "Mozilla/5.0"} # Avoid bot detection response = requests.get(url, headers=headers) if response.status_code != 200: return f"Failed to fetch data for {ticker}" soup = BeautifulSoup(response.text, "html.parser") price_span = soup.find("fin-streamer", {"data-field": "regularMarketPrice"}) if price_span: return f"The current price of {ticker} is ${price_span.text}" return f"Could not find price for {ticker}" @tool def get_current_time_in_timezone(timezone: str) -> str: """A tool that fetches the current local time in a specified timezone. Args: timezone: A string representing a valid timezone (e.g., 'America/New_York'). """ try: # Create timezone object tz = pytz.timezone(timezone) # Get current time in that timezone local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") return f"The current local time in {timezone} is: {local_time}" except Exception as e: return f"Error fetching time for timezone '{timezone}': {str(e)}" final_answer = FinalAnswerTool() model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct', custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[final_answer,get_stock_price,get_current_time_in_timezone] ## 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 ) GradioUI(agent).launch()