Update app.py

app.py

@@ -23,15 +23,15 @@ def add_user_text(chat_history, user_text):
     return chat_history, gr.update(value="", interactive=False)
 
 # Function for the bot to respond
-def bot_respond(chat_history, openai_gpt_key):
+def bot_respond(chat_history, openai_gpt_key, model_choice):
     global messages
 
     if openai_gpt_key is not "":
         openai.api_key = openai_gpt_key
 
-    # Generate response from OpenAI Chat API
+    # Generate response from OpenAI Chat API using the selected model
     bot_response = openai.ChatCompletion.create(
-            model='gpt-3.5-turbo',
+            model=model_choice,
             messages=messages,
         )
     bot_text = bot_response["choices"][0]["message"]["content"]
@@ -51,6 +51,7 @@ def bot_respond(chat_history, openai_gpt_key):
 # Create a Gradio interface
 with gr.Blocks() as demo:
     openai_gpt_key = gr.Textbox(label="OpenAI GPT API Key", value="", placeholder="sk..", info="If an error is raised, you need to provide your own GPT keys for this app to function properly")
+    model_choice = gr.Dropdown(label="Model Options", choices=['gpt-3.5-turbo', 'gpt-4'])
     clear_btn = gr.Button("Clear for Restart")
     chat_history = gr.Chatbot([], elem_id="chat_history").style(height=500)
 
@@ -63,7 +64,7 @@ with gr.Blocks() as demo:
     # Handle user input and bot response
     user_text.submit(
         add_user_text, [chat_history, user_text], [chat_history, user_text], queue=False).then(
-            bot_respond, [chat_history, openai_gpt_key], chat_history).then(
+            bot_respond, [chat_history, openai_gpt_key, model_choice], chat_history).then(
                 lambda: gr.update(interactive=True), None, [user_text], queue=False)
 
     clear_btn.click(lambda: None, None, chat_history, queue=False)