Update app.py

app.py

@@ -246,14 +246,13 @@ 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("## PaLKM2 API with Gradio Chat", 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. "
+            "• inspecting the actual prompt that the model sees. The underlying Large Language Model is the Google's "
+            "[PaLM-2](https://developers.generativeai.google/)"
         )
         
         with gr.Row():
@@ -355,20 +354,7 @@ with gr.Blocks(css=MODEL_SELECTION_CSS, theme='gradio/soft') as demo:
                     gr.Markdown("#### Context managements")
                     with gr.Row():
                         ctx_num_lconv = gr.Slider(2, 10, 3, step=1, label="number of recent talks to keep", interactive=True)        
-        
-        gr.Markdown(
-            "***NOTE:*** If you are subscribing [PRO](https://huggingface.co/pricing#pro), you can simply duplicate this space and use your "
-            "Hugging Face Access Token to run the same application. Just add `HF_TOKEN` secret with the Token value accorindg to [this guide]"
-            "(https://huggingface.co/docs/hub/spaces-overview#managing-secrets-and-environment-variables). Also, if you want to enable internet search "
-            "capability in your private space, please specify `SERPER_API_KEY` secret after getting one from [serper.dev](https://serper.dev/)."
-        )
 
-        gr.Markdown(
-            "***NOTE:*** If you want to run more extended version of this application, check out [LLM As Chatbot](https://github.com/deep-diver/LLM-As-Chatbot) "
-            "project. This project lets you choose a model among various Open Source LLMs including LLaMA2 variations, and others more than 50. Also, if you "
-            "have any other further questions and considerations, please [contact me](https://twitter.com/algo_diver)"
-        )        
-    
     send_event = instruction_txtbox.submit(
         lambda: [
             gr.update(visible=False),