Files
cinny/build/lotus-denoise.js
T
jared 6634b2b8a2
CI / Build & Quality Checks (push) Successful in 10m41s
CI / Trigger Desktop Build (push) Successful in 6s
fix(calls): make ML denoise build-honest + gate desktop trigger on CI
Audit/repair of the multi-model denoise work so it actually builds and only
exposes working, self-hosted models.

- Complete the DTLN/DFN3 revert: uninstall @workadventure/noise-suppression
  and deepfilternet3-noise-filter (package.json + lockfile), drop the unused
  DTLN asset-copy block from vite.config.js (was shipping ~2MB of unused
  tflite/wasm), and narrow DenoiseModelId to the bundled models (rnnoise,
  speex). Coerce any retired persisted model value back to the default.
- Fix General.tsx CI typecheck failures introduced by the denoise UI: restore
  three imports the rewrite deleted (useDateFormatItems, SequenceCardStyle,
  useTauriUpdater), add the missing denoise/sound imports, and correct
  hallucinated Folds props (Text has no variant/bold; Box uses
  alignItems/justifyContent). tsc now passes with 0 errors.
- Harden the vite denoise plugin: required RNNoise/Speex/gate assets and the
  shim now fail the build loudly if missing (instead of a silent warn that
  shipped a broken ML feature), and the index.html shim injection is verified.
- CI: move the cinny-desktop submodule bump into ci.yml as a `trigger-desktop`
  job gated on `needs: build`, and delete the standalone trigger-desktop.yml.
  A failing push no longer kicks off the slow Tauri builds in parallel.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-16 01:42:21 -04:00

257 lines
8.1 KiB
JavaScript

/*
* Lotus Chat — client-side ML noise suppression shim for Element Call.
*
* Element Call runs as a same-origin iframe widget that captures the mic
* internally (via livekit-client -> getUserMedia) and publishes it to LiveKit.
* We can't reach that track from the host. Instead this classic <script> is
* injected (by the vite `lotus-denoise` plugin) into EC's index.html BEFORE its
* deferred module entry, so it runs first and monkeypatches getUserMedia. When
* the "ml" tier is selected (lotusDenoise=ml in the widget URL) we route the
* captured mic through an RNNoise AudioWorklet (@sapphi-red/web-noise-suppressor)
* and hand the processed track back to EC/LiveKit.
*
* RNNoise REQUIRES mono, 48 kHz float audio. Feeding it anything else (stereo,
* or 44.1 kHz data the model treats as 48 kHz) produces loud static. So we:
* - run a 48 kHz AudioContext (which handles resampling from the hardware),
* - use the SIMD build if supported for better performance,
* - keep browser-native stationary suppression ON so the fans are removed
* before RNNoise focuses on transient noises (keyboard, dogs, etc.).
*
* Any failure falls back to the unprocessed mic so calls never break.
*/
(function () {
'use strict';
var params;
try {
params = new URLSearchParams(window.location.search);
if (params.get('lotusDenoise') !== 'ml') return;
} catch (e) {
return;
}
var md = navigator.mediaDevices;
if (!md || typeof md.getUserMedia !== 'function') return;
if (typeof AudioWorkletNode === 'undefined' || typeof AudioContext === 'undefined') return;
var ASSET_BASE = './denoise/';
var SAMPLE_RATE = 48000;
var MODEL = params.get('lotusModel') || 'rnnoise';
var USE_NATIVE_NS = params.get('lotusNativeNS') === 'true';
var USE_GATE = params.get('lotusGate') === 'true';
var GATE_THRESHOLD = parseFloat(params.get('lotusGateThreshold') || '-45');
var PROCESSORS = {
rnnoise: {
name: '@sapphi-red/web-noise-suppressor/rnnoise',
script: 'rnnoiseWorklet.js',
wasm: 'rnnoise.wasm',
simdWasm: 'rnnoise_simd.wasm',
},
speex: {
name: '@sapphi-red/web-noise-suppressor/speex',
script: 'speexWorklet.js',
wasm: 'speex.wasm',
},
gate: {
name: '@sapphi-red/web-noise-suppressor/noise-gate',
script: 'noiseGateWorklet.js',
},
};
var origGetUserMedia = md.getUserMedia.bind(md);
var wasmPromises = {};
var ctxPromise = null;
function checkSimd() {
try {
return WebAssembly.validate(
new Uint8Array([
0, 97, 115, 109, 1, 0, 0, 0, 1, 5, 1, 96, 0, 1, 123, 3, 2, 1, 0, 10, 10, 1, 8, 0, 65, 0,
253, 15, 253, 98, 11,
]),
)
? Promise.resolve(true)
: Promise.resolve(false);
} catch (e) {
return Promise.resolve(false);
}
}
function loadWasm(modelId) {
if (wasmPromises[modelId]) return wasmPromises[modelId];
var p = PROCESSORS[modelId];
if (!p || !p.wasm) return Promise.resolve(null);
wasmPromises[modelId] = (modelId === 'rnnoise' ? checkSimd() : Promise.resolve(false)).then(
function (simd) {
var file = simd && p.simdWasm ? p.simdWasm : p.wasm;
return fetch(ASSET_BASE + file).then(function (r) {
if (!r.ok) {
if (simd && p.simdWasm)
return fetch(ASSET_BASE + p.wasm).then(function (r2) {
if (!r2.ok) throw new Error(modelId + ' wasm failed');
return r2.arrayBuffer();
});
throw new Error(modelId + ' wasm failed');
}
return r.arrayBuffer();
});
},
);
return wasmPromises[modelId];
}
function getContext() {
if (!ctxPromise) {
ctxPromise = (function () {
var ctx = new AudioContext({ sampleRate: SAMPLE_RATE });
if (ctx.sampleRate !== SAMPLE_RATE) {
try {
ctx.close();
} catch (e) {}
return Promise.reject(new Error('SampleRate mismatch: ' + ctx.sampleRate));
}
// Load required modules
var scripts = [PROCESSORS[MODEL].script];
if (USE_GATE) scripts.push(PROCESSORS.gate.script);
return Promise.all(
scripts.map(function (s) {
return ctx.audioWorklet.addModule(ASSET_BASE + s);
}),
).then(function () {
return ctx.state === 'suspended'
? ctx.resume().then(function () {
return ctx;
})
: ctx;
});
})();
ctxPromise.catch(function () {
ctxPromise = null;
});
}
return ctxPromise;
}
var hasNotifiedActive = false;
function processStream(stream) {
var audioTracks = stream.getAudioTracks();
if (audioTracks.length === 0) return Promise.resolve(stream);
return Promise.all([loadWasm(MODEL), getContext()])
.then(function (res) {
var wasmBinary = res[0];
var ctx = res[1];
var source = ctx.createMediaStreamSource(stream);
var dest = ctx.createMediaStreamDestination();
var head = source;
// 1. Optional Noise Gate
if (USE_GATE) {
var gateNode = new AudioWorkletNode(ctx, PROCESSORS.gate.name, {
processorOptions: {
openThreshold: GATE_THRESHOLD,
closeThreshold: GATE_THRESHOLD - 5,
holdMs: 150,
maxChannels: 1,
},
});
head.connect(gateNode);
head = gateNode;
}
// 2. ML Processor
var mlNode = new AudioWorkletNode(ctx, PROCESSORS[MODEL].name, {
channelCount: 1,
channelCountMode: 'explicit',
numberOfInputs: 1,
numberOfOutputs: 1,
outputChannelCount: [1],
processorOptions: { maxChannels: 1, wasmBinary: wasmBinary },
});
head.connect(mlNode);
mlNode.connect(dest);
var origTrack = audioTracks[0];
var processedTrack = dest.stream.getAudioTracks()[0];
var torndown = false;
function cleanup() {
if (torndown) return;
torndown = true;
try {
mlNode.port.postMessage('destroy');
} catch (e) {}
try {
source.disconnect();
mlNode.disconnect();
} catch (e) {}
try {
origTrack.stop();
} catch (e) {}
}
var rawStop = processedTrack.stop.bind(processedTrack);
processedTrack.stop = function () {
cleanup();
rawStop();
};
origTrack.addEventListener('ended', function () {
try {
rawStop();
} catch (e) {}
cleanup();
});
if (!hasNotifiedActive) {
hasNotifiedActive = true;
window.parent.postMessage(
{
type: 'lotus-denoise-status',
active: true,
model: MODEL,
nativeNS: USE_NATIVE_NS,
gate: USE_GATE,
},
'*',
);
}
var out = new MediaStream();
out.addTrack(processedTrack);
stream.getVideoTracks().forEach(function (t) {
out.addTrack(t);
});
return out;
})
.catch(function (e) {
var msg = e instanceof Error ? e.message : String(e);
console.error('[lotus-denoise] Setup failed:', msg);
window.parent.postMessage({ type: 'lotus-denoise-status', active: false, error: msg }, '*');
return stream;
});
}
navigator.mediaDevices.getUserMedia = function (constraints) {
var wantsAudio = !!(constraints && constraints.audio);
var effective = constraints;
if (wantsAudio) {
var audioC =
typeof constraints.audio === 'object' ? Object.assign({}, constraints.audio) : {};
audioC.noiseSuppression = USE_NATIVE_NS;
audioC.channelCount = 1;
if (audioC.echoCancellation === undefined) audioC.echoCancellation = true;
if (audioC.autoGainControl === undefined) audioC.autoGainControl = true;
effective = Object.assign({}, constraints, { audio: audioC });
}
return origGetUserMedia(effective).then(function (stream) {
return wantsAudio ? processStream(stream) : stream;
});
};
})();