code: def run_tflite(
      tflite_filename: str,
      input_tensors: Union[List[tf.Tensor], Dict[str, tf.Tensor]],
  ) -> Union[Sequence[tf.Tensor], tf.Tensor]:
      """Runs TFLite model inference."""
      with tf.io.gfile.GFile(tflite_filename, "rb") as f:
          tflite_model = f.read()
      lite_runner = model_util.get_lite_runner(tflite_model)
      return lite_runner.run(input_tensors)
  
file_path: mediapipe/mediapipe/model_maker/python/core/utils/test_util.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Sequence
  from typing import Dict, List, Union
  import numpy
  import tensorflow
  from mediapipe.model_maker.python.core.data import dataset
  from mediapipe.model_maker.python.core.utils import model_util
label_desc: Use image node_id 5 for calling a global function with example usage: run_tflite(tflite_filename, input_tensors) and returns: lite_runner