code: def model_loader(foldername: str) -> lite.TFLiteConverter:
      """Function to load model file into `TFLiteConverter`.
  
      Args:
          foldername (str): file name
  
      Returns:
          lite.TFLiteConverter: TFLiteConverter to create tflite model
      """
      return lite.TFLiteConverter.from_saved_model(foldername)
  
file_path: auptimizer/src/aup/dlconvert/savedmodel_to_tflite.py
imports: from os import path, environ
  from tensorflow import lite, keras, saved_model
  from absl import flags, app
  from .utils import reset_flag
  import logging
  import coloredlogs
  from ..utils import LOG_LEVEL
  from .to_tflite import create_converter
label_desc: Use image node_id 1 for calling a global function with example usage: model_loader(foldername) and returns: lite