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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
import datetime | |
import requests | |
import pytz | |
import yaml | |
from tools.final_answer import FinalAnswerTool | |
from typing import Tuple | |
from Gradio_UI import GradioUI | |
def calculate_bmi(weight: float, height: float) -> str: | |
"""A tool that calculates the Body Mass Index (BMI). | |
Args: | |
weight: The weight of the person in kilograms. | |
height: The height of the person in meters. | |
Returns: | |
A string displaying the BMI and its classification. | |
""" | |
try: | |
bmi = weight / (height ** 2) | |
classification = ( | |
"Underweight" if bmi < 18.5 else | |
"Normal weight" if bmi < 24.9 else | |
"Overweight" if bmi < 29.9 else | |
"Obese" | |
) | |
return f"BMI: {bmi:.2f} ({classification})" | |
except Exception as e: | |
return f"Error calculating BMI: {str(e)}" | |
def calculate_bmr(weight: float, height: float, age: int, sex: str) -> str: | |
"""A tool that calculates the Basal Metabolic Rate (BMR) using the Mifflin-St Jeor Equation. | |
Args: | |
weight: The weight of the person in kilograms. | |
height: The height of the person in centimeters. | |
age: The age of the person in years. | |
sex: The biological sex of the person ('male' or 'female'). | |
Returns: | |
A string displaying the calculated BMR. | |
""" | |
try: | |
if sex.lower() == "male": | |
bmr = 88.36 + (13.4 * weight) + (4.8 * height) - (5.7 * age) | |
elif sex.lower() == "female": | |
bmr = 447.6 + (9.2 * weight) + (3.1 * height) - (4.3 * age) | |
else: | |
return "Error: Invalid sex input. Use 'male' or 'female'." | |
return f"BMR: {bmr:.2f} kcal/day" | |
except Exception as e: | |
return f"Error calculating BMR: {str(e)}" | |
def calculate_water_requirement(weight: float) -> str: | |
"""A tool that calculates the daily water intake requirement. | |
Args: | |
weight: The weight of the person in kilograms. | |
Returns: | |
A string displaying the recommended daily water intake in liters. | |
""" | |
try: | |
water_intake = 0.033 * weight | |
return f"Recommended daily water intake: {water_intake:.2f} liters" | |
except Exception as e: | |
return f"Error calculating water requirement: {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=model_id,# 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, image_generation_tool, get_current_time_in_timezone, DuckDuckGoSearchTool(), calculate_water_requirement, calculate_bmi, calculate_bmr], ## 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() |