[Chapter 16] How to visualize word embeddings in TensorBoard?

Hi, I'm new to Tensorflow and Keras--really enjoying your book!

How do you retrieve the 11,000 words (vocab_size + num_oov_buckets) from the `StaticVocabularyTable` in cell 54? At the end of the Sentiment Analysis section of chapter 16, you mention the possibility of using the TensorBoard() callback to watch the embeddings learned.

If I open TensorBoard Projector, I can see the word IDs, but not the words themselves. To do so, I tried to save the 10,000 vocabulary words to a TSV file, but I get an error message asking for 11,000 words. How can I retrieve all the words, especially the 1,000 OOV words?