fixed

app.py

@@ -13,11 +13,8 @@ from nltk.tokenize import word_tokenize
 from nltk.corpus import stopwords
 from nltk.stem import WordNetLemmatizer
 
-# Ensure NLTK resources are available by dynamically downloading if necessary
-nltk.data.path.append('/Users/kritsadakruapat/Desktop/Political-Fake-News-Detector-NLP/Fake_News_Detection/nltk_data')
-
-# Download the stopwords if not already present
-nltk.download('stopwords', download_dir='/Users/kritsadakruapat/Desktop/Political-Fake-News-Detector-NLP/Fake_News_Detection/nltk_data')
+# Download NLTK stopwords dynamically without specifying a custom path
+nltk.download('stopwords')
 
 # Preprocessing helper functions
 
@@ -150,4 +147,3 @@ if url:
 
             # Preprocess and predict
             predict_with_threshold(scraped_text)
-