Next.Js Example

Generate text and article, Hooks and components for working with OpenAI streams.

March 15th, 2023

Generate text and article, Hooks and components for working with OpenAI streams.'s picture

About:

Adds hooks and components for working with OpenAI streams.

README.md:

Installation

nextjs-openai includes frontend tools, and openai-streams includes tools for working with OpenAI streams in your API Routes.

yarn add nextjs-openai openai-streams # -or- npm i --save nextjs-openai openai-streams

Hooks

useBuffer() and useTextBuffer() are used to load an incrementing buffer of data (and text) from a given URL.

import { useTextBuffer } from "nextjs-openai"; export default function Demo() { const { buffer, refresh, cancel, done } = useTextBuffer({ url: "/api/demo" }); return ( <div> <StreamingText buffer={buffer} fade={600} /> <button onClick={refresh} disabled={!done}>Refresh</button> <button onClick={cancel} disabled={done}>Cancel</button> </div> ); }

Components

<StreamingText> and <StreamingTextURL> render text from a stream buffer using a fade-in animation.

import { StreamingTextURL } from "nextjs-openai"; export default function Demo() { return ( <StreamingTextURL url="/api/demo" fade={600} throttle={100} /> ); }

Sending data and advanced usage

If you would like to change the type of network request made with <StreamingTextURL> or the useBuffer() and useTextBuffer() hooks, you can set the { method, data } options.

{ data } is sent as the POST request body by default. To use a GET request, set { method = "GET" } and manually set the URL search params on { url }.

See src/pages/index.tsx for a live example.

With <StreamingTextURL>

import { StreamingTextURL } from "nextjs-openai"; export default function Home() { const [data, setData] = useState({ name: "John" }); // ... return ( <StreamingTextURL url="/api/demo" data={data}> ); }

With useTextBuffer()

import { useTextBuffer, StreamingText } from "nextjs-openai"; export default function Home() { const [data, setData] = useState({ name: "John" }); const { buffer, refresh, cancel } = useTextBuffer({ url: "/api/demo", throttle: 100, data, }); // ... return ( <StreamingText buffer={buffer}> ); }

API Routes

Use openai-streams to work with streams in your API Routes.

Edge Runtime

import { OpenAI } from "openai-streams"; export default async function handler() { const stream = await OpenAI( "completions", { model: "text-davinci-003", prompt: "Write a happy sentence.\n\n", max_tokens: 25 }, ); return new Response(stream); } export const config = { runtime: "edge" };

Node <18

If you are not using Edge Runtime, import the NodeJS.Readable version from openai-streams/node.

import type { NextApiRequest, NextApiResponse } from "next"; import { OpenAI } from "openai-streams/node"; export default async function test (_: NextApiRequest, res: NextApiResponse) { const stream = await OpenAI( "completions", { model: "text-davinci-003", prompt: "Write a happy sentence.\n\n", max_tokens: 25 } ); stream.pipe(res); }

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