import openai
import gradio as gr


def get_gpt_output(user_message):    
    response = openai.ChatCompletion.create(        
        model="gpt-3.5-turbo",
        messages=[    
            {"role":"user","content": user_message}
        ],
        temperature=1,
        max_tokens=256,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0
        )
    return response['choices'][0]['message']['content']

title ='Just show the main content'
description = "From json, get ONLY the content"
examples = [
    ["You are a helpful assistant who is obsessed with Mangoes"],
    ["write code that prints out Vikas profile"],
    ["you are an assistant that is obsessed with potatoes and will never stop talking about them."]
]

GET_gpt_output= gr.Interface(fn=get_gpt_output, inputs = 'text', outputs='text', title = title, description = description ,examples = examples)