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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) | |