Update app.py

app.py

@@ -32,13 +32,13 @@ kw_model = {
 pos_pattern='<CONJ.*>*<ADP.*>*<ADV.*>*<NUM.*>*<ADJ.*>*<N.*>+'
 
 # download stop words in Portuguese
-import nltk
-nltk.download('stopwords')
-from nltk.corpus import stopwords
-stop_words = set(stopwords.words('portuguese'))
+#import nltk
+#nltk.download('stopwords')
+#from nltk.corpus import stopwords
+#stop_words = set(stopwords.words('portuguese'))
 
 # define o vectorizer
-vectorizer = KeyphraseCountVectorizer(spacy_pipeline='pt_core_news_lg', pos_pattern=pos_pattern, stop_words=stop_words, lowercase=False)
+vectorizer = KeyphraseCountVectorizer(spacy_pipeline='pt_core_news_lg', pos_pattern=pos_pattern, stop_words=None, lowercase=False)
 
 # function principal (keywords)
 def get_kw_html(model_id, doc, top_n, diversity):