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_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 compute_muscle_to_fat_ratio(weight: float, body_fat_percentage: float) -> str: """ A tool that computes the muscle-to-fat mass ratio for a person. Args: weight: The person's total body weight in kilograms. body_fat_percentage: The person's body fat percentage (e.g., 20.0 for 20%). Returns: A string summarizing the computed muscle-to-fat ratio. This ratio is approximated as: (Lean Body Mass / Fat Mass), where Lean Body Mass = weight - fat mass and Fat Mass = weight * (body_fat_percentage / 100). Note: This is a simplified estimation. For a more accurate analysis, consider using advanced body composition assessments. """ try: fat_mass = weight * (body_fat_percentage / 100) if fat_mass == 0: return "Fat mass is zero; the muscle-to-fat ratio is undefined (check the body fat percentage)." lean_mass = weight - fat_mass ratio = lean_mass / fat_mass return f"The estimated muscle-to-fat ratio is {ratio:.2f}." except Exception as e: return f"Error computing muscle-to-fat ratio: {str(e)}" @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=[final_answer,compute_muscle_to_fat_ratio], ## 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()