start.py

from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.sequence import pad_sequences
import numpy as np

model = load_model("net.h5")

def preprocess(text: str):
    return np.array(pad_sequences([[ord(char) for char in text],], maxlen=32, padding='post'))

def clf(text: str):
    return model.predict(preprocess(text))

if __name__ == "__main__":
    while True:
        print("Secure:", clf(input("Password: "))[0])