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 # Below is an example of a tool that does nothing. Amaze us with your creativity ! #@tool #def my_cutom_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 creates a shopping list # Args: # arg1: the first argument # arg2: the second argument # """ # return "What magic will you build ?" @tool def create_meal_plan(days: int, family_size: int, dietary_restrictions: List[str] = None) -> Dict[str, List[str]]: """Creates a meal plan for specified number of days considering family size and restrictions Args: days: Number of days to plan for family_size: Number of people to cook for dietary_restrictions: List of dietary restrictions/preferences """ # This would integrate with your LLM to generate meal plans # For now returning a simple example structure meal_plan = { "Monday": ["Vegetarian Pasta", "Grilled Chicken Salad", "Fish Tacos"], "Tuesday": ["Oatmeal with Fruit", "Quinoa Bowl", "Stir Fry"] } return meal_plan @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() model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# 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], ## 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()