Update chatbot.py

chatbot.py

@@ -132,9 +132,10 @@ def has_input_function_calls(code):
 def gradio_launch(model_path: str, MAX_TRY: int = 3):
     with gr.Blocks() as demo:
         gr.Markdown("# The Official Demo of OpenCodeInterpreter Models")
+        gr.Markdown("## Important Information)
         gr.Markdown("**We use `m-a-p/OpenCodeInterpreter-DS-6.7B` model in this demo.**")
-        gr.Markdown("**NOTE: Please read the disclaimer section in [README.md](https://huggingface.co/spaces/m-a-p/OpenCodeInterpreter_demo/blob/main/README.md) before using this demo!**")
-        gr.Markdown("**By using this demo, you acknowledge that you have read this disclaimer, understand its terms, and agree to be bound by them.**")
+        gr.Markdown("**This demo operates under strict online safety protocols and faces computational limits, which restrict its ability to demonstrate the model's full capabilities and may result in longer wait times. For an unrestricted experience, consider deploying the model on your own infrastructure. Deployment details are available at our GitHub page: [https://github.com/OpenCodeInterpreter/OpenCodeInterpreter](https://github.com/OpenCodeInterpreter/OpenCodeInterpreter).")
+        gr.Markdown("**NOTE: Please read the disclaimer section in [README.md](https://huggingface.co/spaces/m-a-p/OpenCodeInterpreter_demo/blob/main/README.md) before using this demo! By using this demo, you acknowledge that you have read this disclaimer, understand its terms, and agree to be bound by them.**")
         chatbot = gr.Chatbot(label="OpenCodeInterpreter", avatar_images=["assets/user.pic.jpg", "assets/assistant.pic.jpg"], show_copy_button=True)
         with gr.Group():
             with gr.Row():