Update app.py

app.py

@@ -13,9 +13,15 @@ from nltk.stem import WordNetLemmatizer
 from nltk.tokenize import word_tokenize, sent_tokenize
 from sklearn.feature_extraction.text import CountVectorizer
 
-nltk.download('stopwords')
-nltk.download('punkt')
-    
+nltk_data_path = '/home/user/nltk_data'
+
+os.makedirs(nltk_data_path, exist_ok=True)
+
+nltk.download('stopwords', download_dir=nltk_data_path)
+nltk.download('punkt', download_dir=nltk_data_path)
+
+nltk.data.path.append(nltk_data_path
+                     )
 model = load_model('model_improved.keras')
 vectorizer = joblib.load('vectorizer.joblib')