Update app.py

app.py

@@ -3,7 +3,7 @@ import streamlit as st
 from keybert import KeyBERT
 import yake
 from keyphrase_vectorizers import KeyphraseCountVectorizer
-import fastcountvectorizer
+
 @st.cache(allow_output_mutation=True, suppress_st_warning=True, show_spinner=True)
 def load_model():
   model = KeyBERT("AI-Growth-Lab/PatentSBERTa")
@@ -24,7 +24,7 @@ candidates = kw_extractor.extract_keywords(text)
 keyphrases = [candidate[0] for candidate in candidates]
 from keyphrase_vectorizers import KeyphraseCountVectorizer
 keywords=kw_model.extract_keywords(text,keyphrases, 
-  top_n=50,stop_words=pa_stopwords,keyphrase_ngram_range=(1, 3),vectorizer=fastcountvectorizer())
+  top_n=50,stop_words=pa_stopwords,keyphrase_ngram_range=(1, 3))
 
 
 if keywords != []: