from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from huggingface_hub import InferenceClient from Gradio_UI import GradioUI import os HF_API_KEY = os.getenv("HF_API_KEY") client = InferenceClient( model="Qwen/Qwen2.5-Coder-32B-Instruct", token=HF_API_KEY ) @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)}" # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def guess_city_for_timezone(timezone: str) -> str: '''A tool to guess a city in a timezone Args: timezone: A string representing a valid timezone (e.g., 'America/New_York'). ''' known_timezones_to_cities = { "America/Los_Angeles": "Los Angeles", "America/New_York": "New York", "UTC-8": "Some West Coast city (e.g. Seattle)" # ... } return known_timezones_to_cities.get(timezone, "Unknown City") @tool def weather_art(timezone: str, local_time: str)-> 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 to generate an image to match the time of date returned from the get_current_time_in_timezone tool Args: timezone: the timezone in question. guess the location to generate withint eh timezone. local_time: current time in the selected timezone. """ image_prompt = "describe an image that uses your timezone location guess and the time of day at that time." return image_prompt # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) 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 ) with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[get_current_time_in_timezone, weather_art, image_generation_tool, final_answer], ## add your tools here (don't remove final answer) max_steps=10, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()