Update app.py

app.py

@@ -3,8 +3,8 @@ 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
@@ -61,10 +61,10 @@ def para_t5(text):
     ]
 
 def summarize(text):
-    t5_ = summ_t5(text)
+    #t5_ = summ_t5(text)
     bert_ = summ_bert(text)
     #para_ = para_t5(t5_)
-    return t5_, bert_
+    return bert_
 
 if __name__ == "__main__":
     with gr.Blocks() as demo:
@@ -73,8 +73,8 @@ if __name__ == "__main__":
                 input_text = gr.Textbox(label="Input Text")
                 analyze_button = gr.Button(label="Analyze")
             with gr.Column():
-                t5_output = gr.Textbox(label="T5 Base Output")
+                #t5_output = gr.Textbox(label="T5 Base Output")
                 bert_output = gr.Textbox(label="Bert Base Output")
                 #para_output = gr.Textbox(label="T5 Paraphrase Output")
-        analyze_button.click(summarize, inputs=input_text, outputs=[t5_output, bert_output])
+        analyze_button.click(summarize, inputs=input_text, outputs=[bert_output])
     demo.launch()