problema tf

import tensorflow as tf

model = tf.keras.models.Sequential([
        tf.keras.layers.Dense(10, activation='relu', input_shape=(100,0)),
        tf.keras.layers.Dense(1, activation='sigmoid')
])

model.save('/home/ubuntu/models/model_prova.keras')
print("Modello salvato correttamente")

try:
        model = tf.keras.models.load_model('/home/ubuntu/models/model_prova.keras')
        print("Modello caricato correttamente")

        converter = tf.lite.TFLiteConverter.from_keras_model(model)
        tflite_model = converter.convert()
        print("Modello convertito correttamente")

        tflite_model_path = '/home/ubuntu/models/model.tflite'
        with open(tflite_model_path, "wb") as f:
                f.write(tflite_model)
        print(f"Modello TFLite salvato correttamente in : {tflite_model_path}")
except Exception as e:
        print(f"Errore durante la conversione: {e}")