Update app.py

app.py

@@ -71,11 +71,13 @@ if __name__ == "__main__":
     with gr.Blocks() as demo:
         gr.Markdown(
             """
-            GLM-130B: An Open Bilingual Pre-Trained Model.
+            Hi,
             
-            GLM-130B uses two different mask tokens: `[MASK]` for short blank filling and `[gMASK]` for left-to-right long text generation. When the input does not contain any MASK token, `[gMASK]` will be automatically appended to the end of the text. We recommend that you use `[MASK]` to try text fill-in-the-blank to reduce wait time (ideally within seconds without queuing).
+            Nice to meet you here! This is a toy demo of GLM-130B, an open bilingual pre-trained model from Tsinghua Univeristy. GLM-130B uses two different mask tokens: `[MASK]` for short blank filling and `[gMASK]` for left-to-right long text generation. When the input does not contain any MASK token, `[gMASK]` will be automatically appended to the end of the text. We recommend that you use `[MASK]` to try text fill-in-the-blank to reduce wait time (ideally within seconds without queuing).
             
-            This demo is a raw language model without instruction fine-tuning (which is applied to FLAN-* series) and RLHF (which is applied to ChatGPT). Its ability is roughly between OpenAI `davinci` and `text-davinci-001`. If you find our open-source effort useful, please star our [GitHub repo](https://github.com/THUDM/GLM-130B) to encourage our following development!
+            This demo is a raw language model **without** instruction fine-tuning (which is applied to FLAN-* series) and RLHF (which is applied to ChatGPT); its ability is roughly between OpenAI `davinci` and `text-davinci-001`. Thus, it is currently worse than ChatGPT and other instruction fine-tuned models :(
+            
+            However, we are sparing no effort to improve it, and its updated versions will meet you soon. If you find the open-source effort useful, please star our [GitHub repo](https://github.com/THUDM/GLM-130B) to encourage our following development! 
             """)
 
         with gr.Row():