Update app.py

app.py

@@ -104,13 +104,14 @@ Assistant: <utterance>
 In this app, you can explore the outputs of a gpt-3.5-turbo LLM.
 """
                 
-with gr.Blocks() as demo:
+with gr.Blocks(css = """#col_container {width: 1000px; margin-left: auto; margin-right: auto;}
+                        #chatbot {height: 520px; overflow: auto;}""") as demo:
     gr.HTML(title)
     gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/ChatGPTwithAPI?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your OpenAI API Key</center>''')
     with gr.Column(elem_id = "col_container"):
         openai_api_key = gr.Textbox(type='password', label="Enter your OpenAI API key here")
         chatbot = gr.Chatbot(elem_id = "chatbot") #c
-        inputs = gr.Textbox(placeholder = "Hi there!", label= "Type an input and press Enter", lines=3) #t
+        inputs = gr.Textbox(placeholder = "Hi there!", label= "Type an input and press Enter") #t
         state = gr.State([]) #s
         b1 = gr.Button()
     
@@ -118,12 +119,15 @@ with gr.Blocks() as demo:
         with gr.Accordion("Parameters", open=False):
             top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",)
             temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, 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", )
             chat_counter = gr.Number(value=0, visible=False, precision=0)
 
-    inputs.submit(predict, [inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], [chatbot, state, chat_counter],)
-    b1.click(predict, [inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], [chatbot, state, chat_counter],)
+    inputs.submit( predict, [inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], [chatbot, state, chat_counter],)
+    b1.click( predict, [inputs, top_p, temperature, openai_api_key, chat_counter, chatbot, state], [chatbot, state, chat_counter],)
     b1.click(reset_textbox, [], [inputs])
     inputs.submit(reset_textbox, [], [inputs])
                     
+    #gr.Markdown(description)
     demo.queue().launch(debug=True)