update layout; added a column container

app.py

@@ -61,19 +61,20 @@ Assistant: <utterance>
 In this app, you can explore the outputs of a 20B large language model.
 """
 
-with gr.Blocks(css = "#chatbot {width: 700px; height: 400px; overflow: auto;}") as demo:
+with gr.Blocks(css = "#col_container {width: 700px; height: 400px; overflow: auto;}") as demo:
     gr.HTML(title)
-    chatbot = gr.Chatbot(elem_id='chatbot') #c
-    inputs = gr.Textbox(placeholder= "Hi my name is Joe.", label= "Type an input and press Enter") #t
-    state = gr.State([]) #s
-    b1 = gr.Button()
-
-    #inputs, top_p, temperature, top_k, repetition_penalty
-    with gr.Accordion("Parameters", open=False):
-        top_p = gr.Slider( minimum=-0, maximum=1.0, value=0.95, step=0.05, interactive=True, label="Top-p (nucleus sampling)",)
-        temperature = gr.Slider( minimum=-0, maximum=5.0, value=0.5, step=0.1, interactive=True, label="Temperature",)
-        top_k = gr.Slider( minimum=1, maximum=50, value=4, step=1, interactive=True, label="Top-k",)
-        repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", )
+    with gr.Column(elem_id = "col_container"):
+        chatbot = gr.Chatbot(elem_id='chatbot') #c
+        inputs = gr.Textbox(placeholder= "Hi my name is Joe.", label= "Type an input and press Enter") #t
+        state = gr.State([]) #s
+        b1 = gr.Button()
+    
+        #inputs, top_p, temperature, top_k, repetition_penalty
+        with gr.Accordion("Parameters", open=False):
+            top_p = gr.Slider( minimum=-0, maximum=1.0, value=0.95, step=0.05, interactive=True, label="Top-p (nucleus sampling)",)
+            temperature = gr.Slider( minimum=-0, maximum=5.0, value=0.5, step=0.1, interactive=True, label="Temperature",)
+            top_k = gr.Slider( minimum=1, maximum=50, value=4, step=1, interactive=True, label="Top-k",)
+            repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", )
     
     #b1.click(predict, [t,s], [c,s])
     #inputs.submit(predict, [t,s], [c,s])