angular-cli VS fairseq

[x] https://github.com/angular/angular-cli/pull/28405 / https://github.com/angular/angular/issues/58123

This project was generated using Angular CLI version 19.0.7.

Shame on me, I didn't know that Node.js can't load modules via HTTP. So I had to find a workaround. Node.js supports hooks for loading modules, and this is already at the release candidate stage. Angular 19 even uses this method to generate the manifest file. Wrote an quick and dirty code which worked. Created an issue, suggested a pull request with POC, but there was no response. What's left? Make your own solution.

There are open PRs for Karma and Jest Experimental Builder to support AOT.

module.exports = async (util, rule, host, injector) => { let list = await util.changeList([ { type: 'copy', source: 'git', from: { url: 'https://github.com/angular/angular-cli.git', match: '/packages/schematics/angular/directive/files', output: '/packages/schematics/angular/directive/files', }, pathTemplate: '@angular-devkit', contentTemplate: '@angular-devkit', pathTemplateSuffix: '.template', templateContext: { name: 'hello', standalone: true, selector: 'hello', 'if-flat': (input) => '' }, to: './hello-directive' }, ]); await util.updateChangeList(list); };

Well, scream though I have, the Angular team desperately needs to Remove NodeJS Dependencies, as it has already fallen behind from all frameworks concerning deployment. I'm still waiting for the response on this... 🦗 🦗 🦗 🦗

PR: feat(@angular-devkit/build-angular): add define build option to application builder

The new ssr CommonEngine source code

Source: https://github.com/angular/angular-cli/issues/25134

I haven’t tried it myself, but NLLB-200 has various sizes going down to 600M params:

https://github.com/facebookresearch/fairseq/tree/nllb/

If running locally is too difficult, you can use llm to access hosted models too.

How do they do the text to voice conversion so fast? https://github.com/facebookresearch/fairseq/tree/main (open source takes sub-minute to do text to voice.

It might be worth checking out Meta's TTS tho, I haven't gotten the chance to fiddle around with it but it looks somewhat promising https://github.com/facebookresearch/fairseq/tree/main/examples/mms

They have instructions on how to use it in command line and a notebook on how to use it as a python library.

Github - https://github.com/facebookresearch/fairseq/tree/main/examples/mms Paper - https://research.facebook.com/publications/scaling-speech-technology-to-1000-languages/