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
import wikipedia

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 wikipedia_summary(query: str) -> str:
#     """A tool that fetches a short summary from Wikipedia for a given topic.
#     Args:
#         query: The topic to search for.
#     """
#     try:
#         return wikipedia.summary(query, sentences=2)
#     except Exception as e:
#         return f"Error fetching Wikipedia summary: {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)}"

@tool
def calculate_bmi(weight: float, height: float) -> str:
    """A tool that calculates the Body Mass Index (BMI) given weight and height,
    and provides health recommendations based on the BMI value.
    
    Args:
        weight: Your weight in kilograms.
        height: Your height in meters or centimeters. 
                If the value is greater than 3, it is assumed to be in centimeters.
    """
    try:
        # If height is provided in centimeters (i.e., greater than 3), convert to meters.
        if height > 3:
            height = height / 100.0
        
        bmi = weight / (height ** 2)
        bmi = round(bmi, 2)
        
        if bmi < 18.5:
            category = "Underweight"
            recommendation = (
                "Consider increasing your calorie intake with nutrient-dense foods, "
                "and possibly consult a healthcare provider for a tailored plan."
            )
        elif bmi < 25:
            category = "Normal weight"
            recommendation = (
                "Great job maintaining a healthy weight! Keep up with your balanced diet "
                "and regular physical activity."
            )
        elif bmi < 30:
            category = "Overweight"
            recommendation = (
                "A balanced diet and regular exercise might help in managing your weight. "
                "It could be helpful to consult with a nutritionist for personalized advice."
            )
        else:
            category = "Obese"
            recommendation = (
                "It's advisable to consult a healthcare professional for personalized recommendations "
                "regarding nutrition and exercise."
            )
        
        return f"Your BMI is {bmi} ({category}). {recommendation}"
    except Exception as e:
        return f"Error calculating BMI: {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, 
        calculate_bmi, 
        get_current_time_in_timezone
    ], ## 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()