Update app.py

app.py

@@ -50,7 +50,7 @@ def predict(text, target, chosen_model):
     checkpoint = kw_to_hf[chosen_model]   # "neuralmind/bert-base-portuguese-cased"
     if '/' in checkpoint:
         tokenizer = AutoTokenizer.from_pretrained(checkpoint, use_fast=True, model_max_length=512)
-    else
+    else:
         tokenizer = AutoTokenizer.from_pretrained(checkpoint, use_fast=True)
         
     tokpair = tokenizer(text, target, truncation=True, padding='max_length', return_tensors='tf', return_token_type_ids=False)