code: def convert(model: str, output: str):
      """Convert Keras model to tflite model
  
      Args:
          model (str): input model file name
          output (str): output model file name
      """
      converter = create_converter(model, model_loader)
      tflite_model = converter.convert()
      with open(output, "wb") as f:
          f.write(tflite_model)
  
file_path: auptimizer/src/aup/dlconvert/keras_to_tflite.py
imports: from os import path
  from tensorflow import lite, keras, __version__
  from absl import flags, app
  from .utils import reset_flag
  from .to_tflite import create_converter
label_desc: Use image node_id 2 for calling a global function with example usage: convert(model, output) without return types