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save session for running with webbase app(Flask) #59

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Nov 6, 2019
Merged

save session for running with webbase app(Flask) #59

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2 changes: 2 additions & 0 deletions deepcut/deepcut.py
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Original file line number Diff line number Diff line change
Expand Up @@ -133,6 +133,7 @@ def __init__(self, ngram_range=(1, 1), stop_words=None,
self.model = get_convo_nn2()
self.model.load_weights(WEIGHT_PATH)
self.graph = backend.get_session().graph # save graph for reference in async
self.sess = backend.get_session()

self.vocabulary_ = {}
self.ngram_range = ngram_range
Expand Down Expand Up @@ -299,6 +300,7 @@ def tokenize(self, text, custom_dict=None):
# Fix thread-related issue in Keras + TensorFlow + Flask async environment
# ref: https://github.com/keras-team/keras/issues/2397
with self.graph.as_default():
backend.set_session(self.sess)
y_predict = self.model.predict([x_char, x_type])
y_predict = (y_predict.ravel() > 0.5).astype(int)
word_end = y_predict[1:].tolist() + [1]
Expand Down