KeyPhrases Not Printing top 10.

Hello,

I am trying to print the top 10 key phrases from DatasetA['Description'] - it is a column with 4k text entries. However, I am getting list (print keyphrase) of all 3-6 grams phrases. No specific order. How do I ensure only top 10 is printed. Furthermore, how can I only print
non-similar things (diversity). Thoughts?

from keybert import KeyBERT
doc = DatasetA['Description']
model = KeyBERT('distilbert-base-nli-mean-tokens')
keywords = kw_model.extract_keywords(doc)
from keyphrase_vectorizers import KeyphraseCountVectorizer

kw_model.extract_keywords(docs=doc, vectorizer=KeyphraseCountVectorizer())
#model.extract_keyphrases(doc, keyphrase_ngram_range=(3, 6), stop_words=None, use_mmr=True, top_n=10)
keyphrases = model.extract_keywords(doc, keyphrase_ngram_range=(3, 6), stop_words='english', use_maxsum=True, top_n=10)
for keyphrase in keyphrases:
print(keyphrase)

Start with the KeyBERT.extract_keywords calls shown in the issue, especially the Series passed as docs and the use_maxsum and top_n options. Determine whether the input is treated as one document or many, and verify how diversity is selected; done means the documented usage produces exactly ten non-similar phrases.