Update app.py

app.py

@@ -9,6 +9,7 @@ import textstat
 import trafilatura
 import requests
 from bs4 import BeautifulSoup
+import nltk
 
 # constants
 MAX_TEXT_LENGTH = 1500
@@ -24,6 +25,12 @@ def _load_nlp_models() -> typing.Dict[str, typing.Any]:
     """
     Loads NLP models into memory and caches them.
     """
+    try:
+        nltk.data.find('tokenizers/punkt')
+    except LookupError:
+        nltk.download('punkt')
+        nltk.download('punkt_tab')
+        
     sentiment_analyzer = pipeline(
         "text-classification",
         model="ProsusAI/finbert",