Update app.py

app.py

@@ -14,8 +14,10 @@ model = AutoModelForCausalLM.from_pretrained(
 ).to(device='cpu', non_blocking=True)
 _ = model.eval()
 
-
-
+title = "KoGPT"
+description = "Gradio demo for KoGPT(Korean Generative Pre-trained Transformer). To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://github.com/kakaobrain/kogpt'>KoGPT: KakaoBrain Korean(hangul) Generative Pre-trained Transformer</a> | <a href='https://huggingface.co/kakaobrain/kogpt'>Huggingface Model</a></p>"
+examples=[['인간처럼 생각하고, 행동하는 \'지능\'을 통해 인류가 이제까지 풀지 못했던']]
 def greet(text):
     prompt = text
     with torch.no_grad():
@@ -25,5 +27,5 @@ def greet(text):
       
     return generated
     
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface = gr.Interface(fn=greet, inputs="text", outputs="text", title=title, description=description, article=article, examples=examples)
 iface.launch()