Update app.py

app.py

@@ -164,6 +164,16 @@ with gr.Blocks(css=MODEL_SELECTION_CSS, theme='gradio/soft') as demo:
         })
         local_data = gr.JSON({}, visible=False)
 
+        gr.Markdown("## LLaMA2 70B with Gradio Chat and Hugging Face Inference API", elem_classes=["center"])
+        gr.Markdown(
+            "This space demonstrates how to build feature rich chatbot UI in [Gradio](https://www.gradio.app/). Supported features "
+            "include • multiple chatting channels, • chat history save/restoration, • stop generating text response, • regenerate the "
+            "last conversation, • clean the chat history, • dynamic kick-starting prompt templates, • adjusting text generation parameters, "
+            "• inspecting the actual prompt that the model sees. The underlying Large Language Model is the [Meta AI](https://ai.meta.com/)'s "
+            "[LLaMA2-70B](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) which is hosted as [Hugging Face Inference API](https://huggingface.co/inference-api), "
+            "and [Text Generation Inference](https://github.com/huggingface/text-generation-inference) is the underlying serving framework.", 
+            elem_classes=["center"])
+        
         with gr.Row():
             with gr.Column(scale=1, min_width=180):
                 gr.Markdown("GradioChat", elem_id="left-top")