import spaces 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 @tool def calculate_tip(bill_amount:float, tip_percentage:float)-> float: """Calculate the tip amount for a restaurant bill. Args: bill_amount: The total restaurant bill. tip_percentage: The percentage of the bill to use as a tip Returns: The calculated tip amount. """ return bill_amount * (tip_percentage / 100) # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_custom_tool(arg1:str, arg2:int)-> 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 that does nothing yet Args: arg1: the first argument arg2: the second argument """ return "What magic will you build ?" @tool def calculate_age(birth_date: str)-> int: """Calculate a person's current age from their date of birth. Args: birth_date: The person's date of birth in YYYY-MM-DD format. Returns: The person's current age in years. """ today = datetime.date.today() birth_date = datetime.datetime.strptime(birth_date, "%Y-%m-%d").date() age = today.year - birth_date.year # If their birthday hasn't happened yet this year, subtract one. if (today.month, today.day) < (birth_date.month, birth_date.day): age -= 1 return age @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=[calculate_age,calculate_tip, get_current_time_in_timezone, 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 ) @spaces.GPU(duration=1) def _dummy_gpu(): "Dummy function so ZeroGPU startup check passes. does nothing" return "ok" GradioUI(agent).launch()