Update app.py

app.py

@@ -4,8 +4,12 @@ import re
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 from gtts import gTTS
 from sklearn.feature_extraction.text import CountVectorizer
+import nltk
 from nltk.sentiment import SentimentIntensityAnalyzer
 
+# Download necessary NLTK data
+nltk.download('vader_lexicon')
+
 # Initialize necessary components
 tokenizer = AutoTokenizer.from_pretrained("google/pegasus-xsum")
 model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-xsum")