GPT-3 Programming 101

Here is a primer on how to get started using OpenAI GPT-3 API programmaticaly. OpenAI provides a Python API client, but other clients can be easy build on other languages like Node.

Basic Python Setup

This summary was extracted from many of Twilio’s great GPT-3 examples.

Create working folder.

$ mkdir my-gpt3-app
$ cd my-gpt3-app

Setup a virtual environment to install some Python packages in a sandbox.

$ python3 -m venv my-gpt3-venv
$ source my-gpt3-venv/bin/activate

Install required packages via pip (the Python package installer):

(my-gpt3-venv) $ pip install openai

Using a lightweight API client

I’ll be using Minimaxir/gpt-3-experiments python client for this example. See below for other client implementation and other languages. I picked this one since it has already build in saving API responses to formatted markdown files.

Install packages:

  • httpx: Httpx · Pypi — A next-generation HTTP client for Python.
  • pyyaml: Pyyaml · Pypi — YAML parser and emitter for Python.
  • fire: Fire · Pypi – Automatically generate command line interfaces (CLIs) with a single line of code.
  • tqdm: Tqdm · Pypi— Instantly make your loops show a smart progress meter
$ source my-gpt3-venv/bin/activate
(my-gpt3-venv) $ pip3 install httpx pyyaml fire tqdm

Setup configuration in config.yml

Usage (this will generate a file for each specified temperature in the config.yml.):

(my-gpt3-venv) $ python3 "Once upon a time"
(my-gpt3-venv) $ python3 "prompt.txt"

(Bonus) Saving OpenAI Secret key in an environment variable

Install packages:

  • python-dotenv: The python-dotenv package, to read a .env configuration file.
(my-gpt3-venv) $ pip install python-dotenv

Setup OpenAI API key. Create a .env file in your project’s root directory




See a full list at OpenAI API




January 31, 2021

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