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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.
Try following prompts and tweak temperatures in following links -
https://www.pragnakalp.com/experimenting-with-openai-codex/
https://betterprogramming.pub/i-beta-tested-openais-codex-and-the-results-are-spooky-good-e282a1874c79
'''
iface = gr.Interface( happytt,[ gr.inputs.Slider(0, 1, step=0.1),gr.inputs.Slider(150, 4000, step=1),
gr.inputs.Textbox(type='str',
label="input prompt")],"text", title = title, description = description )
iface.launch(debug=True) |