Update app.py

app.py

@@ -13,16 +13,16 @@ model = AutoModelForSeq2SeqLM.from_pretrained("PhongLT/ViLexNorm-bartpho-syllabl
 def normalize(input):
     input_ids = tokenizer(  input, 
                             return_tensors="pt", 
-                            max_length=512, 
+                            max_length=128, 
                             padding="max_length", 
                             truncation= True).input_ids
 
     output_ids = model.generate(input_ids, 
-                                max_length=512)
+                                max_length=128)
 
     return tokenizer.decode(output_ids[0], 
                             skip_special_tokens=True, 
-                            max_length=512)
+                            max_length=128)
 
 # Create title, description and article strings
 title = "Vietnamese Lexical Normalization"