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 get_weather(city: str) -> str: """Fetches the current weather for a given city using the OpenWeatherMap API. Args: city: Name of the city (e.g., 'Paris', 'New York'). """ api_key = "a7c858f6bddb71d42c105ea61c497407" # Replace with your real API key base_url = "https://api.openweathermap.org/data/2.5/weather" try: params = { "q": city, "appid": api_key, "units": "metric" # Use 'imperial' for Fahrenheit } response = requests.get(base_url, params=params) data = response.json() if response.status_code != 200: return f"Error: {data.get('message', 'Failed to fetch weather data')}" weather = data["weather"][0]["description"] temp = data["main"]["temp"] feels_like = data["main"]["feels_like"] humidity = data["main"]["humidity"] return (f"Weather in {city}:\n" f"- Condition: {weather}\n" f"- Temperature: {temp}°C (Feels like {feels_like}°C)\n" f"- Humidity: {humidity}%") except Exception as e: return f"An error occurred while fetching weather: {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], ## 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()