Update app.py

app.py

@@ -78,7 +78,7 @@ for i in range(0,20):
   text_list= temp_df["tfidf_cleaned"].values
   text_list = [element for element in text_list if str(element) != "nan"]
   single_text = " ".join(text_list)
-  wordcloud = WordCloud(width = 1000, height = 500, , max_words=1000).generate(single_text)
+  wordcloud = WordCloud(width = 1000, height = 500, max_words=1000).generate(single_text)
   dictt_cluster_words[i] = wordcloud.words_