app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import os
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

import joblib
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import LabelEncoder
import pandas as pd

os.getenv("HF_TOKEN")

@tool
def predict_obesity_level(weight:float, age:int, height:float, isMale:bool)-> 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 predicts the obesity level of an individual based on weight, age, height
    and whether the individual is Male or not.
    Args:
        weight: the weight of the individual in kilograms
        age: the age of the individual in years
        height: the height of the individual in meters
        isMale: True if the individual is male, False otherwise
    """
    try:
        # load model
        obesity_model = joblib.load("rf_obesity_classifier.joblib")
        # load Label Encoder
        label_encoder = joblib.load("le_obesity.joblib")
        
        # format data in a dataframe for scoring
        data = {
            "Weight":[weight],
            "Age":[age],
            "Height":[height],
            "Gender_Male":[isMale]
        }
        X_new = pd.DataFrame(data)
        prediction = label_encoder.inverse_transform(obesity_model.predict(X_new))[0]
        
        result = f"The obesity level is {prediction}"
        return result
    except Exception as e:
        return f"Error predicting the obesity level: {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)}"


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,
           predict_obesity_level,
           get_current_time_in_timezone],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()