Update app.py

app.py

@@ -14,7 +14,10 @@ rdrsegmenter = py_vncorenlp.VnCoreNLP(annotators=["wseg"], save_dir='/home/user/
 class MyPipeline(TokenClassificationPipeline):
   def preprocess(self, sentence, offset_mapping=None):
       truncation = True if self.tokenizer.model_max_length and self.tokenizer.model_max_length > 0 else False
-      sentence = rdrsegmenter.word_segment(sentence)
+      
+      sentence = " ".join(rdrsegmenter.word_segment(sentence))
+
+      
       model_inputs = self.tokenizer(
           sentence,
           return_tensors=self.framework,