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import openai | |
import numpy as np | |
import os | |
import gradio as gr | |
openai.api_key = os.environ["api_key"] | |
engine = os.environ["engine"] | |
def happytt(temperature,max_tokens,text): | |
response = openai.Completion.create( | |
engine=engine, | |
prompt=text, | |
temperature=temperature, | |
max_tokens=max_tokens, | |
top_p=1, | |
frequency_penalty=0, | |
presence_penalty=0 | |
) | |
return response.choices[0].text | |
title = "OpenAI Codex" | |
description = "OpenAI Codex is an artificial intelligence model developed by OpenAI. | |
It parses natural language and generates code in response. | |
It is used to power GitHub Copilot, a programming autocompletion | |
tool developed for Code generation." | |
iface = gr.Interface( happytt,[ gr.inputs.Slider(0, 1, step=0.1),gr.inputs.Slider(1, 4000, step=1), | |
gr.inputs.Textbox(type='str', | |
label="input prompt")],"text", title = title, description = description ) | |
iface.launch(debug=True) |