Update tabbed.py

tabbed.py

@@ -122,15 +122,15 @@ with gr.Blocks() as demo:
                     ### This is the [{config["hub"]["repo_id"]}](https://huggingface.co/{config["hub"]["repo_id"]}) quantized model file [{config["hub"]["filename"]}](https://huggingface.co/{config["hub"]["repo_id"]}/blob/main/{config["hub"]["filename"]})
     
                     <details>
-                        <summary><a href="https://huggingface.co/spaces/Nekochu/Llama-2-13B-novel17-french-ggml?duplicate=true">Duplicate the Space</a> to skip the queue and run in a private space or to use your own GGML models, simply update the <a href="https://huggingface.co/spaces/Nekochu/Llama-2-13B-novel17-french-ggml/blob/main/config.yml">config.yml</a></summary>
+                        <summary><a href="https://huggingface.co/spaces/Nekochu/Llama-2-13B-novel17-french-GGUF?duplicate=true">Duplicate the Space</a> to skip the queue and run in a private space or to use your own GGUF models, simply update the <a href="https://huggingface.co/spaces/Nekochu/Llama-2-13B-novel17-french-GGUF/blob/main/config.yml">config.yml</a></summary>
                         <ul>
-                            <li>This Space uses GGML with GPU support, so it can quickly run larger models on smaller GPUs & VRAM. <a href="https://github.com/OpenAccess-AI-Collective/ggml-webui">[Contribute]</a></li>
+                            <li>This Space uses GGUF with GPU support, so it can quickly run larger models on smaller GPUs & VRAM. <a href="https://github.com/OpenAccess-AI-Collective/ggml-webui">[Contribute]</a></li>
                             <li>This is running on a smaller, shared GPU, so it may take a few seconds to respond.</li>
                         </ul>
                     </details>
                     """)
     with gr.Tab("Chatbot"):
-        gr.Markdown("# GGML Spaces Chatbot Demo")
+        gr.Markdown("# GGUF Spaces Chatbot Demo")
         chatbot = gr.Chatbot()
         with gr.Row():
             message = gr.Textbox(
@@ -175,7 +175,7 @@ with gr.Blocks() as demo:
         # )
         stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event, roleplay_click_event], queue=False)
     with gr.Tab("Instruct"):
-        gr.Markdown("# GGML Spaces Instruct Demo")
+        gr.Markdown("# GGUF Spaces Instruct Demo")
         instruct_interface.render()
 
 demo.queue(**config["queue"]).launch(debug=True, server_name="0.0.0.0", server_port=7860)