code: def read_model(input_tflite_file):
      """Reads a tflite model as a python object.
  
      Args:
        input_tflite_file: Full path name to the input tflite file
  
      Raises:
        RuntimeError: If input_tflite_file path is invalid.
        IOError: If input_tflite_file cannot be opened.
  
      Returns:
        A python object corresponding to the input tflite file.
      """
      if not gfile.Exists(input_tflite_file):
          raise RuntimeError(
              "Input file not found at %r\n" % input_tflite_file
          )
      with gfile.GFile(input_tflite_file, "rb") as input_file_handle:
          model_bytearray = bytearray(input_file_handle.read())
      model = convert_bytearray_to_object(model_bytearray)
      if sys.byteorder == "big":
          byte_swap_tflite_model_obj(model, "little", "big")
      return model
  
imports: import copy
  import random
  import re
  import struct
  import sys
  import flatbuffers
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 2 for calling a global function with example usage: read_model(input_tflite_file) and returns: model