serve VS marked

The above code starts a static server (Vercel’s serve) in port 3000. Open the URL in Chrome, open the DevTools, and click the Source tab. You’ll see main.ts as follows:

Another alternative that comes to my mind it is to use the node.js buildpack and serve the static files using serve or similar.

If you don't know how to create a backend, you can try https://npmjs.com/package/serve which is a command that will run a simple server that just serves you the files in a folder (kinda like /public does) but it runs separately from CRA/Webpack so will not affect your app. You then have to take care of fetching and updating the data with fetch() as often as you need.

In app.jsx I've tried removing all the root code and just rendered a typical "Hello World" p tag and it doesn't take nearly as long. I've also ran a basic web server infront of the build folder using serve which suggests it might webpack-dev-server that is having issues with the size of the application (Or could it be saying it's built before it actually is?).

Maybe I was lacking context a bit. I was referencing this actually: https://github.com/vercel/serve/pull/680

https://github.com/vercel/serve (nodejs implementation, therefore requires npm or yarn being installed which are package managers for node)

React.js/ Next.js / Material-UI / Browserify (bundle packaging) / Serve (static site serving) / React-Dropzone (file drag drop) / React-Idle-Timer / zxcvbn.js (Password strength estimation)

https://github.com/vercel/serve (that one should run on every system since it's implemented in NodeJS)

Next, install gray-matter to extract metadata from the front matter of markdown files, and marked to convert the markdown files to HTML:

📑 Marked Markdown parser. Use it to create your own markdown editor.

Vrite SDK provides a few built-in input and output transformers. These are functions, with standardized signatures to process the content from and into Vrite. In this case, gfmInputTransformer is essentially a GitHub Flavored Markdown parser, using Marked.js under the hood.

Another contestant in this realm is Bright[1]. It runs entirely on the server and doesn't increase bundle size as seen here[2]. Regarding parsing speed tree-sitter is without a doubt performant since it is written in Rust, but I don't have any problems "parsing on every keystroke" with a setup containing Marked[3], highlight.js[4] and a sanitizer. I did however experience performance issues with other Markdown parser libraries than Marked.

[1]: https://bright.codehike.org/

[2]: https://aihelperbot.com/test-suite

[3]: https://github.com/markedjs/marked

[4]: https://highlightjs.org/

The project uses markedJS to convert markdown into HTML, this is their GitHub page.

To handle pasting block Markdown content like this, I had to tap into ProseMirror and implement a custom mechanism (though somewhat based on TipTap’s paste rules), detecting starting and ending points of the blocks and parsing them with Marked.js.

I am using marked for markdown parsing together with marked-highlighting to handle syntax highlighting and everything is working as it should.

I'm trying to render user input using SvelteMarkdown (that uses marked).

GPT API returns data in markdown format. You can parse it using a Markdown library and string manipulation. On Electron app I developed https://jhappsproducts.gumroad.com/l/gpteverywhere, I used https://github.com/markedjs/marked and a code syntax highlighting package to display code blocks. And used JavaScript string manipulation to detect when code blocks start and end so I could add COPY/SAVE buttons to the blocks. I hope this helps, and happy coding! :)

Again, with streaming enabled, you’ll now receive new tokens as soon as they’re available. Given that OpenAI’s API uses Markdown in its response format, a full message will need to be put together from the incoming tokens and parsed to HTML, as accepted by the replaceContent function. For this purpose, I’ve used the Marked.js parser.