Update app.py

app.py

@@ -1,6 +1,10 @@
 import streamlit as st
 from transformers import pipeline
 import unicodedata
+import re
+
+def contains_text(text):
+    return re.search('[A-Za-z]', text) or re.search('[א-ת]', text)
 
 def normalize(text):
     return unicodedata.normalize('NFC', text
@@ -18,7 +22,7 @@ text = st.text_area('Enter text and press ctrl/command+enter:')
 
 if text:
 
-    words = [normalize(x) for x in text.split()]
+    words = [normalize(x) for x in text.split() if contains_text(x)]
     outputs = pipe(words, max_length=200, num_beams=5, num_return_sequences=5)
 
     texts = [