Update app.py

app.py

@@ -72,11 +72,11 @@ with gr.Blocks(css=CSS) as demo:
     with gr.Row():
         with gr.Column():
             gr.Markdown(f"""
-                    ## This demo is an unquantized GPU chatbot of [OpenOrca-Platypus2-13B](https://huggingface.co/Open-Orca/OpenOrca-Platypus2-13B)
+                    ## This demo is an unquantized GPU chatbot of [Phind-CodeLlama-34B-v2](https://huggingface.co/Phind/Phind-CodeLlama-34B-v2)
                     Brought to you by your friends at Alignment Lab AI, garage-bAInd, Open Access AI Collective, and OpenChat!
                     """)
     with gr.Row():
-        gr.Markdown("# 🐋 OpenOrca Platypus2 13B Playground Space! 🐋")
+        gr.Markdown("# 🔍 Phind CodeLlama 34B Playground Space! 🔎")
     with gr.Row():
         #chatbot = gr.Chatbot().style(height=500)
         chatbot = gr.Chatbot(elem_id="chatbot")
@@ -94,10 +94,10 @@ with gr.Blocks(css=CSS) as demo:
         with gr.Row():
             with gr.Column():
                 max_tokens = gr.Slider(20, 4000, label="Max Tokens", step=20, value=2000)
-                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)
+                temperature = gr.Slider(0.0, 2.0, label="Temperature", step=0.1, value=0.8)
+                top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.02, 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)
+                repetition_penalty = gr.Slider(0.0, 2.0, label="Repetition Penalty", step=0.05, 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)
@@ -113,4 +113,4 @@ with gr.Blocks(css=CSS) as demo:
     )
     stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event], queue=False)
 
-demo.queue(max_size=32, concurrency_count=4).launch(debug=True, server_name="0.0.0.0", server_port=7860)
+demo.queue(max_size=48, concurrency_count=8).launch(debug=True, server_name="0.0.0.0", server_port=7860)