Sample Function: OpenAI Text Completion

Introduction

This repository contains a DigitalOcean Function that integrates OpenAI and implements the Completion API that when given a prompt, returns a completion. The function requires a POST request and in the body at a minimum requires a prompt property sent as json. Additionally, in the body of the POST request you can pass a max_tokens, temperature, and top_p properties. Learn more about the OpenAI Completion API here.

Examples

Sample Input:

{
    "prompt": "My favorite thing to do on the weekend is",
    "max_tokens": 100
}

Sample Response:

go on long walks with my dog. We usually go to the park or around the neighborhood. I love spending time with her and
getting some fresh air.

---

Sample Input:

{
    "prompt": "What is the sentiment of the following passage: I never knew serverless was so awesome"
}

Sample Response:

The sentiment of the passage is positive.

---

Sample Input:

{
    "prompt": "Tell me a programming joke",
    "max_tokens": 100
}

Sample Response:

Why do programmers always have to write code? Because without code, there would be nothing to debug!

Requirements

• A DigitalOcean account. Sign up for free and get a $100 credit.
• An OpenAI account

Deployment

You can deploy this function either via DigitalOcean's doctl CLI or directly on the DigitalOcean App Platform.

1-Click Quick Deploy to DigitalOcean App Platform

Deploy via doctl

• Optional Fork the repo, so you can make changes and take ownership of the code
• Clone the repo to your machine
• Navigate to the repo on your machine, and rename .env.example to .env
• Open the .env file and set your OpenAI API Key
• Open up a terminal and execute the doctl command: doctl serverless deploy do-function-openai

Deploy via App Platform

• Fork the repo, so you can make changes and take ownership of the code
• Navigate to the App Platform section in your DigitalOcean Dashboard, and either create a new app or new resource in an existing app
• Select the do-function-openai repo that you forked
• In the Environment Variables section, add your OpenAI API Key to the pre-populated apiKey environment variable