str' object has no attribute 'decode' for tensorflow in colab?

Question

I'm a beginner of deeplearning.I copied the code with python3 in colab. Code is from the book called"Book - Practical Deep Learning for Cloud, Mobile & Edge".link here:https://github.com/PracticalDL/Practical-Deep-Learning-Book/blob/master/code/chapter-2/1-predict-class.ipynb

try:
  import google.colab
  IS_COLAB_ENV = True
except:
  IS_COLAB_ENV = False
IS_COLAB_ENV

if IS_COLAB_ENV:
    !pip install -q h5py==2.10.0
    !pip install tensorflow==2.0.0

import tensorflow as tf
from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions
from tensorflow.keras.preprocessing import image
import numpy as np
import matplotlib.pyplot as plt

IMG_PATH = '../../sample-images/cat.jpg'
if IS_COLAB_ENV:
  !curl https://raw.githubusercontent.com/PracticalDL/Practical-Deep-Learning-Book/master/sample-images/cat.jpg --output cat.jpg
  IMG_PATH = 'cat.jpg'

img = image.load_img(IMG_PATH, target_size=(224, 224))
plt.imshow(img)
plt.show()

model = tf.keras.applications.resnet50.ResNet50()   #stopped

And the errors are like this

AttributeError                            Traceback (most recent call last)
<ipython-input-18-7e626296379d> in <module>()
----> 1 model = tf.keras.applications.resnet50.ResNet50()

6 frames
/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/keras/saving/hdf5_format.py in load_weights_from_hdf5_group(f, layers)
    649   """
    650   if 'keras_version' in f.attrs:
--> 651     original_keras_version = f.attrs['keras_version'].decode('utf8')
    652   else:
    653     original_keras_version = '1'

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

All examples in this book have this error. I found an answer like"add this:!pip install -q h5py==2.10.0", but it didn't work for me. Does anyone know how to solve it?I look forward to someone answering my questions.