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https://github.com/Yidadaa/ChatGPT-Next-Web.git
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134
app/lib/audio.ts
Normal file
134
app/lib/audio.ts
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export class AudioHandler {
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private context: AudioContext;
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private workletNode: AudioWorkletNode | null = null;
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private stream: MediaStream | null = null;
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private source: MediaStreamAudioSourceNode | null = null;
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private readonly sampleRate = 24000;
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private nextPlayTime: number = 0;
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private isPlaying: boolean = false;
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private playbackQueue: AudioBufferSourceNode[] = [];
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constructor() {
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this.context = new AudioContext({ sampleRate: this.sampleRate });
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}
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async initialize() {
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await this.context.audioWorklet.addModule("/audio-processor.js");
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}
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async startRecording(onChunk: (chunk: Uint8Array) => void) {
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try {
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if (!this.workletNode) {
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await this.initialize();
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}
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this.stream = await navigator.mediaDevices.getUserMedia({
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audio: {
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channelCount: 1,
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sampleRate: this.sampleRate,
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echoCancellation: true,
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noiseSuppression: true,
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},
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});
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await this.context.resume();
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this.source = this.context.createMediaStreamSource(this.stream);
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this.workletNode = new AudioWorkletNode(
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this.context,
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"audio-recorder-processor",
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);
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this.workletNode.port.onmessage = (event) => {
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if (event.data.eventType === "audio") {
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const float32Data = event.data.audioData;
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const int16Data = new Int16Array(float32Data.length);
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for (let i = 0; i < float32Data.length; i++) {
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const s = Math.max(-1, Math.min(1, float32Data[i]));
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int16Data[i] = s < 0 ? s * 0x8000 : s * 0x7fff;
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}
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const uint8Data = new Uint8Array(int16Data.buffer);
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onChunk(uint8Data);
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}
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};
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this.source.connect(this.workletNode);
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this.workletNode.connect(this.context.destination);
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this.workletNode.port.postMessage({ command: "START_RECORDING" });
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} catch (error) {
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console.error("Error starting recording:", error);
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throw error;
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}
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}
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stopRecording() {
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if (!this.workletNode || !this.source || !this.stream) {
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throw new Error("Recording not started");
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}
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this.workletNode.port.postMessage({ command: "STOP_RECORDING" });
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this.workletNode.disconnect();
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this.source.disconnect();
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this.stream.getTracks().forEach((track) => track.stop());
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}
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startStreamingPlayback() {
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this.isPlaying = true;
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this.nextPlayTime = this.context.currentTime;
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}
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stopStreamingPlayback() {
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this.isPlaying = false;
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this.playbackQueue.forEach((source) => source.stop());
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this.playbackQueue = [];
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}
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playChunk(chunk: Uint8Array) {
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if (!this.isPlaying) return;
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const int16Data = new Int16Array(chunk.buffer);
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const float32Data = new Float32Array(int16Data.length);
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for (let i = 0; i < int16Data.length; i++) {
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float32Data[i] = int16Data[i] / (int16Data[i] < 0 ? 0x8000 : 0x7fff);
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}
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const audioBuffer = this.context.createBuffer(
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1,
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float32Data.length,
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this.sampleRate,
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);
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audioBuffer.getChannelData(0).set(float32Data);
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const source = this.context.createBufferSource();
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source.buffer = audioBuffer;
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source.connect(this.context.destination);
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const chunkDuration = audioBuffer.length / this.sampleRate;
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source.start(this.nextPlayTime);
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this.playbackQueue.push(source);
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source.onended = () => {
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const index = this.playbackQueue.indexOf(source);
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if (index > -1) {
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this.playbackQueue.splice(index, 1);
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}
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};
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this.nextPlayTime += chunkDuration;
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if (this.nextPlayTime < this.context.currentTime) {
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this.nextPlayTime = this.context.currentTime;
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}
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}
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async close() {
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this.workletNode?.disconnect();
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this.source?.disconnect();
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this.stream?.getTracks().forEach((track) => track.stop());
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await this.context.close();
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}
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}
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