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Update app.py
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app.py
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@@ -15,23 +15,27 @@ import unicodedata as ud
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from underthesea import word_tokenize
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from phoBERT import BERT_predict
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LSTM_model = tf.keras.models.load_model('lstm_model.tf')
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GRU_model = tf.keras.models.load_model('gru_model.tf')
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def LSTM_predict(x):
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pred_proba = LSTM_model.predict([x])[0]
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pred_proba = [round(i,2) for i in pred_proba]
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return pred_proba
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def GRU_predict(x):
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pred_proba = GRU_model.predict([x])[0]
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pred_proba = [round(i,2) for i in pred_proba]
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from underthesea import word_tokenize
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from phoBERT import BERT_predict
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import time
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LSTM_model = tf.keras.models.load_model('lstm_model.tf')
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GRU_model = tf.keras.models.load_model('gru_model.tf')
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def LSTM_predict(x):
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t1 = time.time()
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pred_proba = LSTM_model.predict([x])[0]
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t2 = time.time()
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print(f'{t2-t1}s')
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pred_proba = [round(i,2) for i in pred_proba]
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return pred_proba
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def GRU_predict(x):
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t1 = time.time()
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pred_proba = GRU_model.predict([x])[0]
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t2 = time.time()
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print(f'{t2-t1}s')
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pred_proba = [round(i,2) for i in pred_proba]
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