Update app.py

app.py

@@ -4,6 +4,8 @@ from transformers import RobertaTokenizer, RobertaForSequenceClassification
 import nltk
 from nltk.corpus import stopwords
 import re
+import string
+
 nltk.download('stopwords')
 nltk.download('punkt')
 stop_words = set(stopwords.words('english'))
@@ -34,6 +36,7 @@ def preprocess_query(query):
     query = str(query).lower()
     query = query.strip()
     query = remove_stop_words(query)
+    query=query.translate(str.maketrans("", "", string.punctuation))
     return query
 
 def predict_aspects(sentence, threshold):