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import gradio as gr | |
import openai | |
import os | |
openai.api_key = os.environ["OPENAI_KEY"] | |
def answer_question(question): | |
response = openai.Completion.create( | |
engine="text-davinci-002", | |
prompt="Make a step by step how to based on the prompt: " + question, | |
max_tokens=1024, | |
n=1, | |
stop=None, | |
temperature=0.7, | |
).get("choices")[0].text | |
return response | |
iface = gr.Interface(answer_question, | |
gr.inputs.Textbox(lines=5, default="How do i use GPT3?"), | |
gr.outputs.Textbox(), | |
title="How to generator", | |
description="Make how tos from any prompt.") | |
iface.launch() | |