| 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]) |