Update app.py

app.py

@@ -15,6 +15,7 @@ import os
 
 # Download NLTK data
 nltk.download('punkt', quiet=True)
+nltk.download('punkt_tab', quiet=True)
 
 # Model options
 models = {
@@ -103,6 +104,7 @@ def analyze_sentiment(text, model_name, pos_words, neg_words, intensity, custom_
         
         return sentiment_result, highlighted_text, history_str, trend_img, wordcloud_img, qr_img, compare_result, ""
     except Exception as e:
+        print(e)
         return f"Error: {str(e)}", "", "", None, None, "", "", ""
 
 # Fetch X post (simulated)