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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) |