AttributeErrorを解決したい decode

Question

前提・実現したいこと

googleコラボラトリーの方で、エラーが発生したため、解決方法をお伺いしたいです。

発生している問題・エラーメッセージ

AttributeError                            Traceback (most recent call last)
<ipython-input-22-c166c9cbba1e> in <module>()
      1 import emotion
      2 
----> 3 results = emotion.predict(pathlib.Path("/content/images"))
      4 np.savez("/content/results/emotions.npz", **results)

5 frames
/content/gan-playground/analyze_attributes/emotion.py in predict(target_dir)
     41 def predict(target_dir: pathlib.Path) -> Dict[str, np.ndarray]:
     42     results = {}
---> 43     detect = EmotionDetector()
     44     for i, img_file in enumerate(map(str, target_dir.glob("*.png"))):
     45         image = load_image(img_file)

/content/gan-playground/analyze_attributes/emotion.py in __init__(self)
     16         self.detector = dlib.get_frontal_face_detector()
     17         self.crop = pr.CropBoxes2D()
---> 18         self.classify = MiniXceptionFER()
     19 
     20     def call(self, image: np.ndarray) -> List[np.ndarray]:

/usr/local/lib/python3.7/dist-packages/paz/pipelines/classification.py in __init__(self)
     35     def __init__(self):
     36         super(MiniXceptionFER, self).__init__()
---> 37         self.classifier = MiniXception((48, 48, 1), 7, weights='FER')
     38         self.class_names = get_class_names('FER')
     39 

/usr/local/lib/python3.7/dist-packages/paz/models/classification/xception.py in MiniXception(input_shape, num_classes, weights)
    104         filename = 'fer2013_mini_XCEPTION.119-0.65.hdf5'
    105         path = get_file(filename, URL + filename, cache_subdir='paz/models')
--> 106         model = load_model(path)
    107     else:
    108         stem_kernels = [32, 64]

/tensorflow-1.15.2/python3.7/tensorflow_core/python/keras/saving/save.py in load_model(filepath, custom_objects, compile)
    141   if (h5py is not None and (
    142       isinstance(filepath, h5py.File) or h5py.is_hdf5(filepath))):
--> 143     return hdf5_format.load_model_from_hdf5(filepath, custom_objects, compile)
    144 
    145   if isinstance(filepath, six.string_types):

/tensorflow-1.15.2/python3.7/tensorflow_core/python/keras/saving/hdf5_format.py in load_model_from_hdf5(filepath, custom_objects, compile)
    158     if model_config is None:
    159       raise ValueError('No model found in config file.')
--> 160     model_config = json.loads(model_config.decode('utf-8'))
    161     model = model_config_lib.model_from_config(model_config,
    162                                                custom_objects=custom_objects)

AttributeError: 'str' object has no attribute 'decode'

該当のソースコード

import emotion

results = emotion.predict(pathlib.Path("/content/images"))
np.savez("/content/results/emotions.npz", **results)