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import openai
import numpy as np
import os
import json
import gradio as gr
openai.api_key = os.environ["api_key"]
engine = "code-davinci-002"
def happytt(temperature,max_tokens,text,stop):
try:
s = json.loads(stop)
response = openai.Completion.create(
engine=engine,
prompt=text,
temperature=temperature,
max_tokens=max_tokens,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=s
)
except json.JSONDecodeError:
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
https://beta.openai.com/examples?category=code
Built by [mohammed arsalan](https://www.linkedin.com/in/sallu-mandya/)'''
iface = gr.Interface( happytt,[ gr.Slider(0, 1, step=0.1),gr.Slider(150, 4000, step=1),
gr.Textbox(type='str',
label="input prompt"),
gr.Textbox(type='str',
label="list of tokens, when to finish generating",
placeholder='["<code>", "import"]')],"text", title = title, description = description )
iface.launch(debug=True) |