#Just havinfg the original template here, in case we need to duplicate from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool from datetime import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Belo is an example of a tool that does nothing. Amaze us with your creativity ! @tool def time_left_for_event(event:str, date:str)-> str: #it's import to specify the return type """A tool that calculates the time left for a certain event Args: event: the event name (e.g., wedding, birthday, trip) date: the date of the event in YYYY-MM-DD format Returns: A string telling how many days, weeks, and months are left """ try: # Parse the input date event_date = datetime.strptime(date, '%Y-%m-%d') today = datetime.now() # Calculate the difference time_difference = event_date - today # Calculate days, weeks, and months days_left = time_difference.days weeks_left = days_left // 7 months_left = days_left // 30 # Approximate return f"For your {event}, you have approximately {months_left} months ({weeks_left} weeks or {days_left} days) left" except ValueError: return "Error: Please provide the date in YYYY-MM-DD format (e.g., 2024-12-25)" except Exception as e: return f"Error calculating time difference: {str(e)}" final_answer = FinalAnswerTool() 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, ) #deepseek-ai/DeepSeek-R1-Distill-Qwen-32B #'https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud' # 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, time_left_for_event], ## 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()