from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool import os from Gradio_UI import GradioUI @tool def get_weather(city: str) -> str: """ A tool that fetches the current weather for the specified city. Args: city (str): Name of the city (e.g. 'Athens', 'New York' etc.) """ api_key = os.getenv("OPEN_WEATHER_API") base_url = "https://api.openweathermap.org/data/2.5/weather" params = {"q": city, "appid": api_key, "units": "metric", "lang": "en"} try: response = requests.get(base_url, params=params) response.raise_for_status() # Raise an exception for HTTP errors data = response.json() weather_desc = data["weather"][0]["description"] temp = data["main"]["temp"] return f"The weather in {city} is {weather_desc} with a temperature of {temp}°C." except requests.exceptions.HTTPError as e: return f"HTTP Error: {e.response.status_code} - {e.response.reason}" except Exception as e: return f"Error 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, get_current_time_in_timezone, get_weather], ## 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()