from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml import os 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: #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_temperature(location: str, temp_scale: str = "celsius") -> tuple[float, str, str]: """A tool that fetches the current temperature and provides a qualitative description. Args: location: The name of the city/location temp_scale: Temperature scale to use ('celsius' or 'fahrenheit') Returns: tuple: A tuple containing: - temperature (float): The numerical temperature value - unit (str): The temperature unit ('C' or 'F') - description (str): How the temperature feels (freezing/cold/mild/warm/hot) Usage: Always provide temperature value and qualitative description. temp, unit, feel = get_temperature("Warsaw", "celsius") Example output: (-2.4, 'C', 'freezing') Formatted: "The current temperature in Warsaw is -2.4°C - it feels freezing" """ def get_description(temp_c: float) -> str: """Get qualitative description based on Celsius temperature""" if temp_c <= 0: return "freezing" if temp_c <= 10: return "cold" if temp_c <= 20: return "mild" if temp_c <= 30: return "warm" return "hot" def to_celsius(f: float) -> float: """Convert Fahrenheit to Celsius""" return (f - 32) * 5/9 def to_fahrenheit(c: float) -> float: """Convert Celsius to Fahrenheit""" return (c * 9/5) + 32 try: API_KEY = os.environ.get('WEATHER_API_KEY') if not API_KEY: return "Error: Weather API key not configured" # Temperature scale definitions temp_scale = temp_scale.lower() if temp_scale not in ["celsius", "fahrenheit"]: raise ValueError("temp_scale must be either 'celsius' or 'fahrenheit'") units = 'metric' if temp_scale == "celsius" else 'imperial' url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={API_KEY}&units={units}" response = requests.get(url, timeout=10) data = response.json() if response.status_code == 200: temp = data["main"]["temp"] unit = 'C' if temp_scale == "celsius" else 'F' # Convert to Celsius for description if needed temp_c = temp if temp_scale == "celsius" else to_celsius(temp) description = get_description(temp_c) return (temp, unit, description) else: error_msg = data.get('message', 'Unknown error') raise Exception(f"API Error: {error_msg} (Status code: {response.status_code})") except requests.Timeout: raise Exception(f"Request timed out while fetching temperature for {location}") except requests.RequestException as e: raise Exception(f"Network error while fetching temperature: {str(e)}") except KeyError as e: raise Exception(f"Error parsing weather data: Missing {str(e)} in API response") except Exception as e: raise Exception(f"Unexpected error while fetching temperature: {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_temperature, get_current_time_in_timezone], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()