feat: Added required files
Browse files
app.py
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@@ -6,8 +6,9 @@ import tensorflow as tf
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from tensorflow.keras.preprocessing.text import Tokenizer
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from tensorflow.keras.preprocessing.sequence import pad_sequences
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vocab_size = 103
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# Static constants
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model = tf.keras.Sequential([
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tf.keras.layers.Embedding(vocab_size, 120, input_length=max_seq_len-1),
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tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(120)),
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from tensorflow.keras.preprocessing.text import Tokenizer
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from tensorflow.keras.preprocessing.sequence import pad_sequences
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# Static constants
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vocab_size = 103
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max_seq_len = 18
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model = tf.keras.Sequential([
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tf.keras.layers.Embedding(vocab_size, 120, input_length=max_seq_len-1),
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tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(120)),
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