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 typing import List import random from Gradio_UI import GradioUI from huggingface_hub import login, InferenceClient access_token = os.getenv('HUGGINGFACE_TOKEN') login(access_token) # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def roll_dice(dice_type:int, num_rolls:int = 1)-> List[int]: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """Roll a random DnD dice and get the result Args: dice_type: number of sides the dice has 4, 6, 8, 10, 12, 20 num_rolls: Number of rolls to return """ if dice_type not in [4, 6, 8, 10, 12, 20]: return 0 rolls = [random.randint(1, dice_type) for _ in range(num_rolls)] return rolls @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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', 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=[roll_dice, get_current_time_in_timezone, image_generation_tool, 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()