Update app.py

app.py

@@ -3,16 +3,16 @@ from transformers import T5Tokenizer, T5Model, T5ForConditionalGeneration, BertT
 import gradio as gr
 from gradio.mix import Parallel
 
-#tokenizer_t5 = T5Tokenizer.from_pretrained("panggi/t5-base-indonesian-summarization-cased")
-#model_t5 = T5ForConditionalGeneration.from_pretrained("panggi/t5-base-indonesian-summarization-cased")
+tokenizer_t5 = T5Tokenizer.from_pretrained("panggi/t5-base-indonesian-summarization-cased")
+model_t5 = T5ForConditionalGeneration.from_pretrained("panggi/t5-base-indonesian-summarization-cased")
 
 tokenizer_bert = BertTokenizer.from_pretrained("cahya/bert2bert-indonesian-summarization")
 tokenizer_bert.bos_token = tokenizer_bert.cls_token
 tokenizer_bert.eos_token = tokenizer_bert.sep_token
 model_bert = EncoderDecoderModel.from_pretrained("cahya/bert2bert-indonesian-summarization")
 
-#t5_para_tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoT5-base-paraphrase")  
-#t5_para_model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-base-paraphrase")
+t5_para_tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoT5-base-paraphrase")  
+t5_para_model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-base-paraphrase")
 
 
 def summ_t5(text):