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import pyLDAvis.gensim_models
import pickle 
import pyLDAvis

# Visualize the topics
pyLDAvis.enable_notebook()

LDAvis_data_filepath = os.path.join('./results/'+str(num_topics))

# # this is a bit time consuming - make the if statement True
# # if you want to execute visualization prep yourself
if 1 == 1:
    LDAvis_prepared = pyLDAvis.gensim_models.prepare(lda_model, corpus, id2word)
    with open(LDAvis_data_filepath, 'wb') as f:
        pickle.dump(LDAvis_prepared, f)

# load the pre-prepared pyLDAvis data from disk
with open(LDAvis_data_filepath, 'rb') as f:
    LDAvis_prepared = pickle.load(f)

pyLDAvis.save_html(LDAvis_prepared, './results/ldavis_prepared_'+ str(num_topics) +'.html')

LDAvis_prepared