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/)'''+os.environ["api_key"] 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='["", "import"]')],"text", title = title, description = description ) iface.launch(debug=True)