Update app.py

app.py

@@ -78,37 +78,37 @@ with gr.Blocks(css=CSS) as demo:
         gr.Markdown("# 🐋 OpenOrca x OpenChat - Preview2 - 13B Playground Space! 🐋")
         #chatbot = gr.Chatbot().style(height=500)
         chatbot = gr.Chatbot(elem_id="chatbot")
-        with gr.Row():
-            message = gr.Textbox(
-                label="What do you want to chat about?",
-                placeholder="Ask me anything.",
-                lines=3,
-            )
-        with gr.Row():
-            submit = gr.Button(value="Send message", variant="secondary").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=False):
-            with gr.Row():
-                with gr.Column():
-                    max_tokens = gr.Slider(20, 1000, label="Max Tokens", step=20, value=500)
-                    temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=0.8)
-                    top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.95)
-                    top_k = gr.Slider(0, 100, label="Top K", step=1, value=40)
-                    repetition_penalty = gr.Slider(0.0, 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)
-    
-        submit_click_event = submit.click(
-            fn=user, inputs=[message, chat_history_state], outputs=[message, 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
+    with gr.Row():
+        message = gr.Textbox(
+            label="What do you want to chat about?",
+            placeholder="Ask me anything.",
+            lines=3,
         )
-        stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event], queue=False)
+    with gr.Row():
+        submit = gr.Button(value="Send message", variant="secondary").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=False):
+        with gr.Row():
+            with gr.Column():
+                max_tokens = gr.Slider(20, 1000, label="Max Tokens", step=20, value=500)
+                temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=0.8)
+                top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.95)
+                top_k = gr.Slider(0, 100, label="Top K", step=1, value=40)
+                repetition_penalty = gr.Slider(0.0, 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)
+
+    submit_click_event = submit.click(
+        fn=user, inputs=[message, chat_history_state], outputs=[message, 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], queue=False)
 
 demo.queue(max_size=128, concurrency_count=48).launch(debug=True, server_name="0.0.0.0", server_port=7860)