from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel,load_tool, tool import os import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool # from tools.visit_webpage import VisitWebpageTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def get_weather(location:str,)-> dict: #it's import to specify the return type """A tool that fetches the weather and temperature of a given location. Args: location: A string representing location (Eg. London) """ api_key = os.getenv("openweatherapikey") url = f'http://api.openweathermap.org/data/2.5/weather?q={location}&appid={api_key}' response = requests.get(url) if response.status_code == 200: data = response.json() temp = data['main']['temp'] desc = data['weather'][0]['description'] return { "location": data["name"], "temperature": data["main"]["temp"], "weather": data["weather"][0]["description"] } else: return {"error": "Could not fetch weather data"} @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_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()