grammar, info, regenerate button

app.py

@@ -30,6 +30,14 @@ def user(message, history):
     return "", history
 
 
+def pop_last(history):
+    turn = history.pop()
+    # append the user's last message to the conversation history
+    history.append([turn[0], ""])
+
+    return history
+
+
 def chat(history, system_message, max_tokens, temperature, top_p, top_k, repetition_penalty):
     history = history or []
 
@@ -80,11 +88,15 @@ with gr.Blocks(css=CSS) as demo:
     with gr.Row():
         with gr.Column():
             gr.Markdown(f"""
-                    ## This preview demo is an un-quantized GPU chatbot of Jackalope 7B
-                    Brought to you by your friends at Open Access AI Collective, Alignment Lab AI, OpenChat!
+                    ## This PREVIEW demo is an un-quantized GPU chatbot of Jackalope 7B
+                    Final model drops on Wednesday October 11th.
+                    Brought to you by your friends at Open Access AI Collective, Alignment Lab AI, and OpenChat!
                     """)
     with gr.Row():
         gr.Markdown("# 🐰🦌 Jackalope 7B Playground Space! 🐰🦌")
+    with gr.Row():
+        system_msg = gr.Textbox(
+            start_message, label="System Message", interactive=True, visible=True, placeholder="System prompt. Provide instructions which you want the model to remember.", lines=5)
     with gr.Row():
         #chatbot = gr.Chatbot().style(height=500)
         chatbot = gr.Chatbot(elem_id="chatbot")
@@ -95,10 +107,11 @@ with gr.Blocks(css=CSS) as demo:
             lines=3,
         )
     with gr.Row():
-        submit = gr.Button(value="Send message", variant="secondary").style(full_width=True)
+        submit = gr.Button(value="Send message", variant="primary").style(full_width=True)
         clear = gr.Button(value="New topic", variant="secondary").style(full_width=False)
         stop = gr.Button(value="Stop", variant="secondary").style(full_width=False)
-    with gr.Accordion("Show Model Parameters", open=True):
+        regenerate = gr.Button(value="Regenerate", variant="secondary").style(full_width=False)
+    with gr.Accordion("Show Model Parameters", open=False):
         with gr.Row():
             with gr.Column():
                 max_tokens = gr.Slider(20, 2500, label="Max Tokens", step=20, value=500)
@@ -107,9 +120,6 @@ with gr.Blocks(css=CSS) as demo:
                 top_k = gr.Slider(1, 100, label="Top K", step=1, value=40)
                 repetition_penalty = gr.Slider(1.0, 2.0, label="Repetition Penalty", step=0.1, value=1.1)
 
-        system_msg = gr.Textbox(
-            start_message, label="System Message", interactive=True, visible=True, placeholder="System prompt. Provide instructions which you want the model to remember.", lines=5)
-
     chat_history_state = gr.State()
     clear.click(clear_chat, inputs=[chat_history_state, message], outputs=[chat_history_state, message], queue=False)
     clear.click(lambda: None, None, chatbot, queue=False)
@@ -119,6 +129,11 @@ with gr.Blocks(css=CSS) as demo:
     ).then(
         fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repetition_penalty], outputs=[chatbot, chat_history_state, message], queue=True
     )
-    stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event], queue=False)
+    regenerate_click_event = regenerate.click(
+        fn=pop_last, inputs=[chat_history_state], outputs=[chat_history_state], queue=True
+    ).then(
+        fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repetition_penalty], outputs=[chatbot, chat_history_state, message], queue=True
+    )
+    stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event, regenerate_click_event], queue=False)
 
 demo.queue(max_size=128, concurrency_count=48).launch(debug=True, server_name="0.0.0.0", server_port=7860)