Create start.py

start.py

@@ -0,0 +1,15 @@
+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])