Update app.py

app.py

@@ -64,8 +64,8 @@ def clear():
 def updatePassword(txt):
     return [txt.lower(), "*********"]
 
-def setModel(val):
-    return val
+# def setModel(val):
+#     return val
 
 def chat(prompt, user_window, pwd_window, past, response, gptModel):
     user_window = user_window.lower()
@@ -116,9 +116,9 @@ def new_func(user_window):
 with gr.Blocks() as demo:
     history = gr.State([])
     password = gr.State("")
-    model = gr.State("gpt-3.5-turbo")
+    model = gr.State("gpt-4o-mini")
     gr.Markdown('# GPT Chat')
-    gr.Markdown('Enter user name & password then enter prompt and click submit button.  GPT 3.5 is cheaper but GPT 4o may perform better.  Restart conversation if topic changes')
+    gr.Markdown('Enter user name & password then enter prompt and click submit button.  Restart conversation if topic changes')
     # heading = gr.Label(value="GPT Chat", scale=2, color="Crimson" )
     with gr.Row():
         user_window = gr.Textbox(label = "User Name")
@@ -126,13 +126,13 @@ with gr.Blocks() as demo:
         pwd_window.blur(updatePassword, pwd_window, [password, pwd_window])
     with gr.Row():
         clear_button = gr.Button(value="Restart Conversation")
-        gpt_chooser=gr.Radio(choices=[("GPT-3.5","gpt-3.5-turbo"),("GPT-4o","gpt-4o-mini")],
-                             value="gpt-3.5-turbo", label="GPT Model", interactive=True)
+        # gpt_chooser=gr.Radio(choices=[("GPT-3.5","gpt-3.5-turbo"),("GPT-4o","gpt-4o-mini")],
+        #                      value="gpt-3.5-turbo", label="GPT Model", interactive=True)
         submit_window = gr.Button(value="Submit Prompt/Question")
     prompt_window = gr.Textbox(label = "Prompt or Question")
     output_window = gr.Textbox(label = "Dialog")
     submit_window.click(chat, inputs=[prompt_window, user_window, password, history, output_window, model],
                          outputs=[history, output_window, prompt_window])
     clear_button.click(clear, inputs=[], outputs=[prompt_window, history, output_window])
-    gpt_chooser.input(fn=setModel, inputs=gpt_chooser, outputs=model)
+    # gpt_chooser.input(fn=setModel, inputs=gpt_chooser, outputs=model)
 demo.launch()