Update app.py

app.py

@@ -13,7 +13,7 @@ nltk.download('stopwords')
 # Function to read and preprocess the article
 def read_article(article):
     sentences = nltk.sent_tokenize(article)
-    sentences = [sentence for sentence in sentences if len(sentence) > 10]  # Filter out very short sentences
+    sentences = [sentence for sentence in sentences if len(sentence) > 10]  # filter very short sentences
     return sentences
 
 # Function to compute sentence similarity based on cosine similarity