from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool import yfinance as yf from Gradio_UI import GradioUI import os import subprocess try: import yfinance except ModuleNotFoundError: subprocess.check_call(["pip", "install", "yfinance"]) import yfinance #AGENT_COUSRE_TOKEN = os.getenv("AGENT_COUSRE_TOKEN") @tool def get_tides_for_location(location: str, date: str = "today") -> str: """Fetches the high and low tides for a specific date at a given location. Args: location: The name of the city or place (e.g., 'San Francisco'). date: The date for which to fetch tide data (format: 'YYYY-MM-DD' or 'today'). Returns: A string containing high and low tide times for the specified date and location. """ try: # Load API key from environment variable API_KEY = os.getenv("WORLD_TIDES_KEY") if not API_KEY: return "API key is missing. Please set WORLDTIDES_API_KEY in Hugging Face Secrets." # Step 1: Convert location name to latitude & longitude geo_url = f"https://nominatim.openstreetmap.org/search?format=json&q={location}" geo_response = requests.get(geo_url).json() if not geo_response: return f"Could not find coordinates for {location}." lat = geo_response[0]["lat"] lon = geo_response[0]["lon"] # Step 2: Fetch tide data if date == "today": date = datetime.datetime.utcnow().strftime("%Y-%m-%d") # Get today's date in UTC tide_url = f"https://www.worldtides.info/api/v3?extremes&lat={lat}&lon={lon}&date={date}&key={API_KEY}" tide_response = requests.get(tide_url).json() if "extremes" not in tide_response: return f"Could not fetch tide data for {location} on {date}." tides = tide_response["extremes"] if not tides: return f"No tide data available for {location} on {date}." result = f"Tide data for {location} on {date}:\n" for tide in tides: time_utc = tide["date"] tide_type = "High Tide" if tide["type"] == "High" else "Low Tide" result += f"{tide_type} at {time_utc}\n" return result except Exception as e: return f"Error fetching tide data: {str(e)}" @tool def get_stock_price(ticker: str) -> str: """A tool that fetches the latest closing stock price for a given ticker symbol using Yahoo Finance. Args: ticker: A string representing a valid stock ticker symbol (e.g., 'AAPL' for Apple Inc.). Returns: A string containing the latest closing stock price. Raises: ValueError: If the ticker is invalid or no stock data is available. """ try: stock = yf.Ticker(ticker) history = stock.history(period="1d") if history.empty: raise ValueError(f"No data found for ticker: {ticker}") latest_price = round(history["Close"].iloc[-1], 2) return f"The latest closing stock price for {ticker.upper()} is ${latest_price}" except Exception as e: return f"Error fetching stock price for {ticker}: {str(e)}" # 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: #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 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: # 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, #token=AGENT_COUSRE_TOKEN ) # 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_tides_for_location ], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()