import joblib
import os
import numpy as np

# file_path = os.path.abspath("first_simple_linear_regression.pkl")

current_file_path = os.path.abspath(__file__)
current_folder_path = os.path.dirname(current_file_path)
model_filename = f'{current_folder_path}\\first_simple_linear_regression.pkl'

def load_model_and_predict(x_value):
    #This function loads the model and predict the y values
    #Load the model
    loaded_model = j100oblib.load(model_filename)

    x_value = np.array([x_value]).reshape(-1,1)

    predicted_y = loaded_model.predict(x_value)[0]
    return predicted_y

end_val = "0"
print("Bienvenido!")
while(end_val!="1"):
    x_proposed_value = int(input("Enter your x value: "))
    predicted_y = load_model_and_predict(x_proposed_value)

    print(f"Your y returne values is {predicted_y}")
    end_val = input("Press one to end, or enter any key to predict anothe y value")