from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool import datetime import requests import pytz import yaml 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 my_custom_tool(arg1: str, arg2: int) -> str: """A tool that does nothing yet. Args: arg1: the first argument arg2: the second argument """ return "What magic will you build?" @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: tz = pytz.timezone(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)}" @tool def get_nasdaq_news_and_stock_price(symbol: str) -> str: """Fetches the latest NASDAQ stock price and news for a given stock symbol. Args: symbol: The stock ticker symbol (e.g., 'AAPL' for Apple). """ try: # Fetch stock price stock_url = f"https://query1.finance.yahoo.com/v8/finance/chart/{symbol}" stock_response = requests.get(stock_url) stock_data = stock_response.json() stock_price = stock_data["chart"]["result"][0]["meta"]["regularMarketPrice"] # Fetch latest news search_tool = DuckDuckGoSearchTool() news_results = search_tool.search(f"{symbol} NASDAQ latest news") latest_news = news_results["results"][:3] # Get top 3 news articles news_summary = "\n".join([f"{news['title']} - {news['href']}" for news in latest_news]) return f"Latest NASDAQ stock price for {symbol}: ${stock_price}\n\nTop news articles:\n{news_summary}" except Exception as e: return f"Error fetching data for {symbol}: {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: # 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', # 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_nasdaq_news_and_stock_price], # Add NASDAQ tool here max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()