added packages back in, replaced var w/ let

build/lotus-denoise.js

@@ -19,10 +19,11 @@
  *
  * Any failure falls back to the unprocessed mic so calls never break.
  */
+// TODO: MAKE THIS A TS FILE
 (function () {
   'use strict';
 
-  var params;
+  let params;
   try {
     params = new URLSearchParams(window.location.search);
     if (params.get('lotusDenoise') !== 'ml') return;
@@ -33,31 +34,31 @@
   // Derive the parent origin for postMessage targetOrigin from the parentUrl
   // widget param (a full URL) so denoise-status messages aren't broadcast with
   // '*'. Fall back to this frame's own origin if parentUrl is missing/malformed.
-  var targetOrigin;
+  let targetOrigin;
   try {
-    var parentUrl = params.get('parentUrl');
+    let parentUrl = params.get('parentUrl');
     targetOrigin = parentUrl ? new URL(parentUrl).origin : window.location.origin;
   } catch (e) {
     targetOrigin = window.location.origin;
   }
 
-  var md = navigator.mediaDevices;
+  let md = navigator.mediaDevices;
   if (!md || typeof md.getUserMedia !== 'function') return;
   if (typeof AudioWorkletNode === 'undefined' || typeof AudioContext === 'undefined') return;
 
-  var ASSET_BASE = './denoise/';
+  let ASSET_BASE = './denoise/';
 
-  var MODEL = params.get('lotusModel') || 'rnnoise';
+  let MODEL = params.get('lotusModel') || 'rnnoise';
   // DTLN (@workadventure) targets 16 kHz and does not resample internally, so
   // its whole graph runs in a 16 kHz context; RNNoise/Speex (sapphi) and
   // DeepFilterNet 3 are 48 kHz fullband. The processed MediaStreamTrack is
   // published to LiveKit either way (WebRTC/Opus resamples as needed).
-  var SAMPLE_RATE = MODEL === 'dtln' ? 16000 : 48000;
-  var USE_NATIVE_NS = params.get('lotusNativeNS') === 'true';
-  var USE_GATE = params.get('lotusGate') === 'true';
-  var GATE_THRESHOLD = parseFloat(params.get('lotusGateThreshold') || '-45');
+  let SAMPLE_RATE = MODEL === 'dtln' ? 16000 : 48000;
+  let USE_NATIVE_NS = params.get('lotusNativeNS') === 'true';
+  let USE_GATE = params.get('lotusGate') === 'true';
+  let GATE_THRESHOLD = parseFloat(params.get('lotusGateThreshold') || '-45');
 
-  var PROCESSORS = {
+  let PROCESSORS = {
     rnnoise: {
       name: '@sapphi-red/web-noise-suppressor/rnnoise',
       script: 'rnnoiseWorklet.js',
@@ -91,9 +92,9 @@
     },
   };
 
-  var origGetUserMedia = md.getUserMedia.bind(md);
-  var wasmPromises = {};
-  var ctxPromise = null;
+  let origGetUserMedia = md.getUserMedia.bind(md);
+  let wasmPromises = {};
+  let ctxPromise = null;
 
   function checkSimd() {
     try {
@@ -112,12 +113,12 @@
 
   function loadWasm(modelId) {
     if (wasmPromises[modelId]) return wasmPromises[modelId];
-    var p = PROCESSORS[modelId];
+    let 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;
+        let file = simd && p.simdWasm ? p.simdWasm : p.wasm;
         return fetch(ASSET_BASE + file).then(function (r) {
           if (!r.ok) {
             if (simd && p.simdWasm)
@@ -137,7 +138,7 @@
   function getContext() {
     if (!ctxPromise) {
       ctxPromise = (function () {
-        var ctx = new AudioContext({ sampleRate: SAMPLE_RATE });
+        let ctx = new AudioContext({ sampleRate: SAMPLE_RATE });
         if (ctx.sampleRate !== SAMPLE_RATE) {
           try {
             ctx.close();
@@ -146,7 +147,7 @@
         }
         // Load worklet modules. DTLN registers its own processor via the
         // dynamic-imported helper (see buildMlNode), so it needs nothing here.
-        var scripts = [];
+        let scripts = [];
         if (MODEL === 'rnnoise' || MODEL === 'speex') scripts.push(PROCESSORS[MODEL].script);
         if (USE_GATE) scripts.push(PROCESSORS.gate.script);
 
@@ -169,7 +170,7 @@
     return ctxPromise;
   }
 
-  var hasNotifiedActive = false;
+  let hasNotifiedActive = false;
 
   // Build the ML denoise AudioWorkletNode. RNNoise/Speex are flat sapphi
   // worklets we instantiate directly with the fetched WASM binary. DTLN comes
@@ -187,9 +188,9 @@
     if (MODEL === 'deepfilternet') {
       // Resolve an absolute self-hosted base so the package's cdnUrl override
       // fetches our vendored df_bg.wasm + ONNX model (never the upstream CDN).
-      var dfnBase = new URL(ASSET_BASE + 'deepfilternet', window.location.href).href;
+      let dfnBase = new URL(ASSET_BASE + 'deepfilternet', window.location.href).href;
       return import(ASSET_BASE + PROCESSORS.deepfilternet.esm).then(function (mod) {
-        var core = new mod.DeepFilterNet3Core({
+        let core = new mod.DeepFilterNet3Core({
           sampleRate: SAMPLE_RATE,
           noiseReductionLevel: 80,
           assetConfig: { cdnUrl: dfnBase },
@@ -212,7 +213,8 @@
         });
       });
     }
-    var node = new AudioWorkletNode(ctx, PROCESSORS[MODEL].name, {
+
+    let node = new AudioWorkletNode(ctx, PROCESSORS[MODEL].name, {
       channelCount: 1,
       numberOfInputs: 1,
       numberOfOutputs: 1,
@@ -230,21 +232,21 @@
   }
 
   function processStream(stream) {
-    var audioTracks = stream.getAudioTracks();
+    let 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];
+        let wasmBinary = res[0];
+        let ctx = res[1];
 
-        var source = ctx.createMediaStreamSource(stream);
-        var dest = ctx.createMediaStreamDestination();
-        var head = source;
+        let source = ctx.createMediaStreamSource(stream);
+        let dest = ctx.createMediaStreamDestination();
+        let head = source;
 
         // 1. Optional Noise Gate
         if (USE_GATE) {
-          var gateNode = new AudioWorkletNode(ctx, PROCESSORS.gate.name, {
+          let gateNode = new AudioWorkletNode(ctx, PROCESSORS.gate.name, {
             processorOptions: {
               openThreshold: GATE_THRESHOLD,
               closeThreshold: GATE_THRESHOLD - 5,
@@ -258,7 +260,7 @@
 
         // 2. ML Processor
         return buildMlNode(ctx, wasmBinary).then(function (ml) {
-          var mlNode = ml.node;
+          let mlNode = ml.node;
           head.connect(mlNode);
           mlNode.connect(dest);
 
@@ -266,15 +268,15 @@
           // the track handoff — audio flows via bypassUntilReady meanwhile.
           if (ml.ready && typeof ml.ready.then === 'function') {
             ml.ready.catch(function (err) {
-              var m = err instanceof Error ? err.message : String(err);
+              let m = err instanceof Error ? err.message : String(err);
               console.error('[lotus-denoise] ' + MODEL + ' init failed:', m);
             });
           }
 
-          var origTrack = audioTracks[0];
-          var processedTrack = dest.stream.getAudioTracks()[0];
+          let origTrack = audioTracks[0];
+          let processedTrack = dest.stream.getAudioTracks()[0];
 
-          var torndown = false;
+          let torndown = false;
           function cleanup() {
             if (torndown) return;
             torndown = true;
@@ -293,7 +295,7 @@
             } catch (e) {}
           }
 
-          var rawStop = processedTrack.stop.bind(processedTrack);
+          let rawStop = processedTrack.stop.bind(processedTrack);
           processedTrack.stop = function () {
             cleanup();
             rawStop();
@@ -319,7 +321,7 @@
             );
           }
 
-          var out = new MediaStream();
+          let out = new MediaStream();
           out.addTrack(processedTrack);
           stream.getVideoTracks().forEach(function (t) {
             out.addTrack(t);
@@ -328,7 +330,7 @@
         });
       })
       .catch(function (e) {
-        var msg = e instanceof Error ? e.message : String(e);
+        let 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 },
@@ -339,10 +341,10 @@
   }
 
   navigator.mediaDevices.getUserMedia = function (constraints) {
-    var wantsAudio = !!(constraints && constraints.audio);
-    var effective = constraints;
+    let wantsAudio = !!(constraints && constraints.audio);
+    let effective = constraints;
     if (wantsAudio) {
-      var audioC =
+      let audioC =
         typeof constraints.audio === 'object' ? Object.assign({}, constraints.audio) : {};
       audioC.noiseSuppression = USE_NATIVE_NS;
       audioC.channelCount = 1;