fix

app.py

@@ -15,7 +15,7 @@ from nltk.stem import WordNetLemmatizer
 
 # Download NLTK resources dynamically if not already present
 nltk.download('stopwords')
-nltk.download('punkt')  # Add this line to download the 'punkt' tokenizer
+nltk.download('punkt')  # Download the entire punkt resource including 'punkt_tab'
 
 # Preprocessing helper functions
 
@@ -148,4 +148,3 @@ if url:
 
             # Preprocess and predict
             predict_with_threshold(scraped_text)
-