Merge pull request #30 from KOSASIH/deepsource-transform-87bd26bd

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natural_language_processing/word_embedding.py

@@ -1,6 +1,7 @@
 import tensorflow as tf
 from tensorflow.keras.layers import Embedding
 
+
 def generate_word_embeddings(vocab_size, embedding_dim):
     # Generate word embeddings using a pre-trained embedding layer
     embeddings = Embedding(vocab_size, embedding_dim, input_length=1)