Update LLM model

app.py

@@ -10,8 +10,6 @@ import base64
 with open("Iso_Logotipo_Ceibal.png", "rb") as image_file:
     encoded_image = base64.b64encode(image_file.read()).decode()
 
-
-
 # chatbot = pipeline(model="microsoft/DialoGPT-medium")
 # conversation = Conversation("Hi")
 # response = chatbot(conversation)
@@ -56,8 +54,6 @@ def add_new_message(message,chat_history):
      new_chat.append({"role": "user","content":message})
      return new_chat
     
-          
-
 def respond(message, chat_history):
     prompt = add_new_message(message, chat_history)
     # stream = client.generate_stream(prompt,
@@ -67,7 +63,7 @@ def respond(message, chat_history):
     #                                   #stop_sequences to not generate the user answer
     # acc_text = ""
     response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
+        model="gpt-4-1106-preview",
         messages= prompt,
         temperature=0.5,
         max_tokens=1000,
@@ -105,7 +101,7 @@ with gr.Blocks() as demo:
     </h1>
     <img src='data:image/jpg;base64,{}' width=200px>
     <h3>
-    Con este espacio podrás hablar en formato conversación con ChatGPT!
+    En este espacio podrás interactuar con ChatGPT y su modelo GPT4!
     </h3>
     </center>
     """.format(encoded_image))
@@ -119,9 +115,6 @@ with gr.Blocks() as demo:
                 btn = gr.Button("Enviar")
                 clear = gr.ClearButton(components=[msg, chatbot], value="Borrar chat")
 
-   
-
-
     btn.click(respond, inputs=[msg, chatbot], outputs=[msg, chatbot])
     msg.submit(respond, inputs=[msg, chatbot], outputs=[msg, chatbot]) #Press enter to submit
     clear.click(clear_chat,inputs=[msg, chatbot], outputs=[msg, chatbot])