Update app.py

app.py

@@ -4,14 +4,12 @@ import numpy as np
 from sklearn.feature_extraction.text import TfidfVectorizer
 # Import necessary libraries
 import re
-import nltk
 from urllib.parse import urlparse
 from nltk.tokenize import word_tokenize
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 
 # Initialize NLTK resources
-nltk.download('stopwords')
 stop_words = set(stopwords.words("english"))  # Create a set of English stopwords
 lemmatizer = WordNetLemmatizer()  # Initialize the WordNet Lemmatizer