Update app.py

app.py

@@ -5,10 +5,15 @@ import nltk
 from nltk.corpus import stopwords
 from nltk.tokenize import word_tokenize
 
-# Ensure NLTK resources are downloaded
 nltk.download('punkt', quiet=True)
 nltk.download('stopwords', quiet=True)
 
+from nltk.tokenize.punkt import PunktSentenceTokenizer, PunktTrainer
+trainer = PunktTrainer()
+tokenizer = PunktSentenceTokenizer(trainer.train(""))
+
+
+
 # Load model and vectorizer
 model = joblib.load("sentiment_model.pkl")
 vectorizer = joblib.load("tfidf_vectorizer.pkl")