Spaces:
Sleeping
Sleeping
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 ! | |
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 ?" | |
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)}" | |
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() |