Novel-c NPM | npm.io

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This project is an enhanced version of Novel, originally created by Steven Tey. I am forked it to introduce additional customization options.

Added props | Prop | Type | Description | Default | | --------------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------- | | extraExtensions | {slashCommands: SlashCommandsConfig;bubbleMenuItems?: BubbleMenuConfig;} | Extra slash commands and bubble menu items were added directly to the SlashCommand and BubbleMenu extensions. | undefined

Example:

<NovelEditor
  extraExtensions={{
    bubbleMenuItems: {
      exclude: ["link"],
      add: [
        {
          name: "custom",
          isActive: () => false,
          command: console.log,
          icon: CodeIcon,
        },
      ],
    },
    slashCommands: {
      exclude: ["To-do List"],
      add: [
        {
          title: "Custom To-do List",
          description: "Use AI to expand your thoughts.",
          searchTerms: ["gpt"],
          icon: <span>pty</span>,
          command: ({ editor, range }: any) => {
            editor.chain().focus().deleteRange(range).toggleTaskList().run();
          },
        },
      ],
    },
  }}
/>

To use this Novel in a project, you can run the following command to install the novel-c NPM package:

npm i novel-c

Then, you can use it in your code like this:

import { Editor } from "novel-c";

export default function App() {
  return <Editor />;
}

Introduction

Novel is a Notion-style WYSIWYG editor with AI-powered autocompletions.

https://github.com/steven-tey/novel/assets/28986134/2099877f-4f2b-4b1c-8782-5d803d63be5c

The Editor is a React component that takes in the following props:

Prop	Type	Description	Default
`completionApi`	`string`	The API route to use for the OpenAI completion API.	`/api/generate`
`className`	`string`	Editor container classname.	`"relative min-h-[500px] w-full max-w-screen-lg border-stone-200 bg-white sm:mb-[calc(20vh)] sm:rounded-lg sm:border sm:shadow-lg"`
`defaultValue`	`JSONContent` or `string`	The default value to use for the editor.	`defaultEditorContent`
`extensions`	`Extension[]`	A list of extensions to use for the editor, in addition to the default Novel extensions.	`[]`
`editorProps`	`EditorProps`	Props to pass to the underlying Tiptap editor, in addition to the default Novel editor props.	`{}`
`onUpdate`	`(editor?: Editor) => void`	A callback function that is called whenever the editor is updated.	`() => {}`
`onDebouncedUpdate`	`(editor?: Editor) => void`	A callback function that is called whenever the editor is updated, but only after the defined debounce duration.	`() => {}`
`debounceDuration`	`number`	The duration (in milliseconds) to debounce the `onDebouncedUpdate` callback.	`750`
`storageKey`	`string`	The key to use for storing the editor's value in local storage.	`novel__content`
`disableLocalStorage`	`boolean`	Enabling this option will prevent read/write content from/to local storage.	`false`

Note: Make sure to define an API endpoint that matches the completionApi prop (default is /api/generate). This is needed for the AI autocompletions to work. Here's an example: https://github.com/steven-tey/novel/blob/main/apps/web/app/api/generate/route.ts

Here's an example application: https://github.com/steven-tey/novella

Deploy Your Own

You can deploy your own version of Novel to Vercel with one click:

Setting Up Locally

To set up Novel locally, you'll need to clone the repository and set up the following environment variables:

OPENAI_API_KEY – your OpenAI API key (you can get one here)
BLOB_READ_WRITE_TOKEN – your Vercel Blob read/write token (currently still in beta, but feel free to sign up on this form for access)

If you've deployed this to Vercel, you can also use vc env pull to pull the environment variables from your Vercel project.

To run the app locally, you can run the following commands: