app.py

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()