Update app.py

app.py

@@ -18,6 +18,7 @@ nltk.download('dolch') #Sight words
 nltk.download('names') #People Names NER
 nltk.download('gazetteers') #Location NER
 nltk.download('opinion_lexicon') #Sentiment words
+nltk.download('averaged_perceptron_tagger') #Parts of Speech Tagging
 
 
 spacy.cli.download("en_core_web_sm")
@@ -120,11 +121,6 @@ def filter_words(words):
 
     return filtered_words
 
-# Call the function to get the filtered list of words
-filtered_words = filter_words(words)
-
-print(filtered_words)
-
 def SepHypandSynExpansion(text):
   # Tokenize the text
   tokens = nltk.word_tokenize(text)