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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 Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def nutrient_calculator(weight: float, activity_level: str) -> str:
"""Calculates basic daily nutrient needs based on weight and activity level.
Args:
weight: Weight in kilograms
activity_level: low/medium/high
"""
activity_multipliers = {
'low': 1.2,
'medium': 1.5,
'high': 1.8
}
if activity_level.lower() not in activity_multipliers:
return "Invalid activity level. Use 'low', 'medium', or 'high'."
if weight <= 0 or weight > 300:
return "Please enter a valid weight between 0 and 300 kg."
multiplier = activity_multipliers[activity_level.lower()]
# Basic calculations
calories = round(weight * 24 * multiplier)
protein = round(weight * 1.8) # 1.8g per kg
carbs = round(calories * 0.45 / 4) # 45% of calories from carbs
fats = round(calories * 0.25 / 9) # 25% of calories from fats
water = round(weight * 0.033, 1) # 33ml per kg
return f"""Daily nutrient needs:
Calories: {calories} kcal
Protein: {protein}g
Carbohydrates: {carbs}g
Fats: {fats}g
Water: {water} liters"""
@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], ## 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() |