AttributeError: module 'tensorflow' has no attribute 'get_default_graph'

[vaira...@gmail.com]

hi Team,

    I am running below code from the sample in Co-Lab. It runs fine. 

    But while trying the same from my local machine with Tensorflow 2.0.0 beta1 and Keras 2.2.4 it throws an error AttributeError: module 'tensorflow' has no attribute 'get_default_graph'

    Please help me.

from keras.applications.resnet50 import ResNet50

from keras.preprocessing import image

from keras.applications.resnet50 import preprocess_input, decode_predictions

import numpy as np

model = ResNet50(weights='imagenet')

img_path = 'fish2.png'

img = image.load_img(img_path, target_size=(224, 224))

x = image.img_to_array(img)

x = np.expand_dims(x, axis=0)

x = preprocess_input(x)

preds = model.predict(x)

# decode the results into a list of tuples (class, description, probability)

# (one such list for each sample in the batch)

print('Predicted:', decode_predictions(preds, top=3)[0])

# Predicted: [(u'n02504013', u'Indian_elephant', 0.82658225), (u'n01871265', u'tusker', 0.1122357), (u'n02504458', u'African_elephant', 0.061040461)]

Thanks,

R.Vaira Selvam