output arrangement

I am getting results arranged according to the importance

```
def keyword_exctraction(self,new_text):
eng_stopwords = stopwords.words('english')
hinglish_stopwords=pd.read_csv("stopwords_hinglish.csv")
hinglish_stop_words=hinglish_stopwords['Stop_words'].tolist()
stop=hinglish_stop_words+eng_stopwords
multilingual = SentenceTransformer('sentence-transformers/paraphrase-MiniLM-L6-v2')
kw_model = KeyBERT(model=multilingual)
doc = new_text
keyword = kw_model.extract_keywords(doc, stop_words=stop,top_n=10,
use_mmr=False,diversity=0.2,highlight=False)
multilingual = SentenceTransformer('sentence-transformers/paraphrase-MiniLM-L6-v2')
kw_model = KeyBERT(model=multilingual)
#print(keyword)
return keyword
```
`keyword_extracted=self.keyword_exctraction(text)`

`text = "i want Iphone 14 purple"`

The results i am getting is :
[('iphone', 0.5916), ('purple', 0.5219), ('14', 0.272)]

But the language order of the result should be "iphone 14 purple"
How can we get results in order via keybert?

Start with the keyword_exctraction method and the KeyBERT extract_keywords call shown in the issue, including its ordering-related arguments. Check how returned keywords are ordered and whether the requested input order can be supported; done means the example returns the keywords in the order “iphone 14 purple.”

Written by the indexing model from the issue text.