import pickle
from pathlib import Path
import pandas as pd
import tensorflow as tf

PACKAGE_PATH = Path(__file__).parent

OUTPUT_COLUMN = ['probability_over_50k']

class MyModel:

    def __init__(self):
        
        # Load the model
        self.model = tf.keras.models.load_model(PACKAGE_PATH / 'saved_model')

    def predict(self, input_df):
        
        # Store predictions in a DataFrame
        return pd.DataFrame(self.model.predict(input_df), columns=OUTPUT_COLUMN)

def get_model():
    return MyModel()