text: from multiclass_model import MulticlassMultiLabelModel
  
  """
  Classify a single image file from the filesystem.
  """
  
  parser = ArgumentParser()
  parser.add_argument('--runname', '-n', dest='run_name',
                      type=str,
                      help='Name for this run, will otherwise not try to load model.')
  parser.add_argument('--file', '-f', dest='file',
                      type=str, default="./face_data/female_senior/users_reHt5vV4soc2BtN5cYUJpSgUClk1_faces_4kbr2K6XTV8UmNXvEDkF.jpg",
                      help='File to test')
  parser.add_argument('--m', '-m', dest='model',
                      type=str, default="cnn",
                      help='declare what model to use.')
  
  
  args = parser.parse_args()
  
  model = MulticlassMultiLabelModel(
      epochs=1,  batch_size=1, run_name=args.run_name)
  model.load_weights()
  print(model.predict(args.file))
  