import pickle
from pathlib import Path
import pandas as pd

PACKAGE_PATH = Path(__file__).parent

class ModelPackage:

    def __init__(self):
        self.output_columns = ['score']
        with open(f'{PACKAGE_PATH}/model.pkl', 'rb') as infile:
            self.model = pickle.load(infile)
    
    def predict(self, input_df):
        pred = self.model.predict(input_df)
        return pd.DataFrame(pred, columns=self.output_columns)
    
def get_model():
    return ModelPackage()