keras load_model raise error when executed a second time

You can create a new sesstion and load the model to it.

from keras.models import load_model
import keras

def network(campaign):
    with keras.backend.get_session().graph.as_default():
        model = load_model("sunshade/neural_network/model.h5")
        label = model.predict(images, batch_size = 128, verbose = 1)