Update app.py

app.py

@@ -14,7 +14,8 @@ model_name = "roberta-base"
 tokenizer = RobertaTokenizer.from_pretrained(model_name, map_location=torch.device('cpu'))
 
 def text_to_sentences(text):
-    return re.split(r'(?<=[^A-Z].[.?]) +(?=[A-Z])', text)
+    clean_text = text.replace('\n', ' ')
+    return re.split(r'(?<=[^A-Z].[.?]) +(?=[A-Z])', clean_text)
 
 # function to concatenate sentences into chunks of size 900 or less
 def chunks_of_900(text, chunk_size=900):