Problem loading saved model

[miftahihsan]

****(This problem is from NLP number 20)****

Hello, I was having problem saving and loading this model I used model.save(path.h5) to save the model

used the code below to load the model

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import tensorflow as tf from tensorflow.python.keras.preprocessing.text import Tokenizer from tensorflow.python.keras.preprocessing.sequence import pad_sequences

pad = 'pre' num_words = 10000 max_tokens = 544

tokenizer = Tokenizer(num_words)

text = ["Great movie!", "Worst Movie ever!"]

tokens = tokenizer.texts_to_sequences(text)

tokens_pad = pad_sequences(tokens, maxlen=max_tokens, padding=pad, truncating=pad)

new_model = tf.keras.models.load_model("path.h5")

new_model.predict(tokens_pad)

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my all my results are the same rather then having two different +ve and -ve sentiment

array([[0.57864296], [0.57864296]], dtype=float32)

If possible please do tell me what I am doing wrong, and how to fix this issue Thank You!