Update app.py

app.py

@@ -7,22 +7,23 @@ tokenizer_t5 = T5Tokenizer.from_pretrained("panggi/t5-base-indonesian-summarizat
 model_t5 = T5ForConditionalGeneration.from_pretrained("panggi/t5-base-indonesian-summarization-cased")
 
 def summ_t5(text):
-  input_ids = tokenizer.encode(text, return_tensors='pt')
-  summary_ids = model_.generate(input_ids,
-              max_length=100, 
-              num_beams=2,
-              repetition_penalty=2.5, 
-              length_penalty=1.0, 
-              early_stopping=True,
-              no_repeat_ngram_size=2,
-              use_cache=True)
-  summary_text = tokenizer_t5.decode(summary_ids[0], skip_special_tokens=True)
-  return summary_text
-  
+    input_ids = tokenizer_t5.encode(text, return_tensors='pt')
+    summary_ids = model_t5.generate(input_ids,
+                max_length=100,
+                num_beams=2,
+                repetition_penalty=2.5,
+                length_penalty=1.0,
+                early_stopping=True,
+                no_repeat_ngram_size=2,
+                use_cache=True)
+    summary_text = tokenizer_t5.decode(summary_ids[0], skip_special_tokens=True)
+    return summary_text
+
 summ_demo = gr.Interface(
     fn=summ_t5,
     inputs="text",
-    outputs="text")
+    outputs=gr.Textbox(lines=10, label="T5 Base Output")
+    )
 
 if __name__ == "__main__":
     Parallel(summ_demo,