from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml import yfinance as yf from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def get_stock_price(ticker_symbol:str, time_period:str)-> str: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A tool that searches for the historic price of a stock symbol given the symbol ticker name and a period. IT will return in a csv string format. Args: ticker_symbol: A string representing a stock symbol (e.g., 'AAPL') time_period: A string representing the time period for pricing. Valid options are 1d, 5d, 1mo, 3mo, 6mo, 1y,2y, 5y, 10y and ytd the current timezone """ try: data = yf.Ticker(ticker_symbol) historic_price = data.history(period=time_period) return historic_price.to_csv() except Exception as e: return f"Error getting the price for {ticker_symbol}: {str(e)}" @tool def get_ticker_news(ticker_symbol:str) -> list: """A tool that gets news for a stock symbol. Args: ticker_symbol: A string representing a stock symbol (e.g., 'AAPL') """ try: data = yf.Ticker(ticker_symbol) news = data.get_news(count=10, tab='news', proxy=None) return news except Exception as e: return f"Error getting news for {ticker_symbol}: {str(e)}" @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() # 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='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded 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_current_time_in_timezone, get_stock_price,get_ticker_news], ## 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()