Update app.py

app.py

@@ -61,7 +61,7 @@ def process_entity(batch, model, device):
     pseudo_sentence = batch['pseudo_sentence'].to(device)
 
     # Convert tensor to list of token IDs, and decode them into a readable sentence
-    pseudo_sentence_decoded = tokenizer.decode(pseudo_sentence[0].tolist(), skip_special_tokens=False)
+    pseudo_sentence_decoded = bert_tokenizer.decode(pseudo_sentence[0].tolist(), skip_special_tokens=False)
 
     with torch.no_grad():
         outputs = spaBERT_model(#input_ids=input_ids,