GPT-3 wrapper for Python
Project description
gpt3_simple_primer
Wrapper used to simplify GPT-3 priming.
Background
Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. For more information, visit https://openai.com/blog/openai-api/.
Priming: the initial prompt fed to the language model for subsequent text generation
The OpenAI Python library is the official Python wrapper for the OpenAI API. The purpose of this library is to simplify the priming process by providing easy to use methods for setting the instructions and adding examples. For more flexibility around priming, please refer to the openai
library.
Requirements
You will need an API key from OpenAI to access GPT-3.
Usage
from gpt3_simple_primer import GPT3Generator
key = 'sk-xxxxx'
generator = GPT3Generator(engine='davinci',
max_tokens=20,
temperature=0.5,
top_p=1)
generator.set_key(key)
generator.set_instructions('List the ingredients for this meal.')
generator.add_example('apple pie', 'apple, butter, flour, egg, cinnamon, crust, sugar')
generator.add_example('guacamole', 'avocado, tomato, onion, lime, salt')
# key lime, egg, sugar, butter, graham cracker, cream
generator.generate('key lime pie')
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