def convert_model_to_tflite(keras_model_path):
    tf.logging.set_verbosity( tf.logging.ERROR )
    converter = tf.contrib.lite.TFLiteConverter.from_keras_model_file(keras_model_path )
    converter.post_training_quantize = True
    tflite_buffer = converter.convert()
    open( 'model.tflite' , 'wb' ).write( tflite_buffer )
    print( 'TFLite model created.')