Update app.py

app.py

@@ -4,16 +4,16 @@ import nltk
 from nltk.corpus import stopwords
 from nltk.tokenize import word_tokenize
 
+# Ensure NLTK resources are downloaded
+nltk.download('punkt')
+nltk.download('stopwords')
+
 # Load the trained KNN model
 knn_classifier = joblib.load('knn_model.pkl')
 
 # Load the TF-IDF vectorizer
 tfidf_vectorizer = joblib.load('tfidf_vectorizer.pkl')
 
-# Download nltk resources
-nltk.download('punkt')
-nltk.download('stopwords')
-
 # Text Preprocessing Function
 stop_words = set(stopwords.words('english'))