Update app.py

app.py

@@ -20,25 +20,25 @@ import textwrap
 import pandas as pd
 
 #Uncomment these for Huggingface
-#nltk.download('maxent_ne_chunker') #Chunker
-#nltk.download('stopwords') #Stop Words List (Mainly Roman Languages)
-#nltk.download('words') #200 000+ Alphabetical order list
-#nltk.download('punkt') #Tokenizer
-#nltk.download('verbnet') #For Description of Verbs
-#nltk.download('omw')
-#nltk.download('omw-1.4') #Multilingual Wordnet
-#nltk.download('wordnet') #For Definitions, Antonyms and Synonyms
-#nltk.download('shakespeare')
-#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")
-#spacy.cli.download('ko_core_news_sm')
-#spacy.cli.download('ja_core_news_sm')
-#spacy.cli.download('zh_core_web_sm')
+nltk.download('maxent_ne_chunker') #Chunker
+nltk.download('stopwords') #Stop Words List (Mainly Roman Languages)
+nltk.download('words') #200 000+ Alphabetical order list
+nltk.download('punkt') #Tokenizer
+nltk.download('verbnet') #For Description of Verbs
+nltk.download('omw')
+nltk.download('omw-1.4') #Multilingual Wordnet
+nltk.download('wordnet') #For Definitions, Antonyms and Synonyms
+nltk.download('shakespeare')
+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")
+spacy.cli.download('ko_core_news_sm')
+spacy.cli.download('ja_core_news_sm')
+spacy.cli.download('zh_core_web_sm')
 
 nlp = spacy.load('en_core_web_sm')
 translator = Translator()