import pandas
import os

from keras.applications.densenet import layers

from sklearn.model_selection import train_test_split
import tensorflow


reloaded = tensorflow.keras.models.load_model('test')

x_to_test = pandas.read_csv('./X_test.csv')
y_to_test = pandas.read_csv('./Y_test.csv')

accu = reloaded.evaluate(x_to_test, y_to_test)

print(f'accurancy !@!#@!#!@$!@$!@$!@$!@$!@$!@${accu}')

pre = reloaded.predict(x_to_test)

pre.tofile('prediction.csv', sep=',', format='%s')