changed for prod
parent
7c7feff90e
commit
4f4f90d7ad
240
src/index.ts
240
src/index.ts
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@ -1,146 +1,174 @@
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import express from 'express';
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import path from 'path';
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import { Request, Response } from 'express';
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import http from 'http';
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import { Server } from 'socket.io';
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import dotenv from 'dotenv';
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import { RealtimeClient, RealtimeUtils } from '@openai/realtime-api-beta';
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import { voiceEngineSocketUser } from './voiceEngine';
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import express from "express";
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import path from "path";
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import { Request, Response } from "express";
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import http from "http";
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import { Server } from "socket.io";
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import dotenv from "dotenv";
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import { RealtimeClient, RealtimeUtils } from "@openai/realtime-api-beta";
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import { voiceEngineSocketUser } from "./voiceEngine";
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dotenv.config();
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const app = express();
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const PORT = 50269;
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const publicFolder = path.join(__dirname, 'public');
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if (!process.env.PORT) {
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console.error("Please set the PORT environment variable");
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process.exit(1);
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}
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const PORT = parseInt(process.env.PORT, 10);
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const publicFolder = path.join(__dirname, "public");
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app.use(express.static(publicFolder));
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app.get('/', (req: Request, res: Response) => {
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res.sendFile(path.join(publicFolder, 'index.html'));
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app.get("/", (req: Request, res: Response) => {
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res.sendFile(path.join(publicFolder, "index.html"));
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});
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const server = http.createServer(app);
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const io = new Server(server);
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interface ConversationItem {
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[key: string]: any;
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[key: string]: any;
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}
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io.on('connection', (socket) => {
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console.log('A user connected');
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io.on("connection", (socket) => {
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console.log("A user connected");
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voiceEngineSocketUser(socket);
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voiceEngineSocketUser(socket);
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let gptClient: null | RealtimeClient = null;
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let gptClient: null | RealtimeClient = null;
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socket.on('start', async (data) => {
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gptClient = new RealtimeClient({ apiKey: process.env.OPENAI_API_KEY });
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socket.on("start", async (data) => {
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gptClient = new RealtimeClient({ apiKey: process.env.OPENAI_API_KEY });
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(async () => {
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try {
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await gptClient.connect();
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(async () => {
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try {
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await gptClient.connect();
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console.log('Connected to OpenAI Realtime API');
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console.log("Connected to OpenAI Realtime API");
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socket.on('voice-data', async (audioBuffer) => {
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try {
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console.log('Voice data received');
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socket.on("voice-data", async (audioBuffer) => {
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try {
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console.log("Voice data received");
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// Send user audio, must be Int16Array or ArrayBuffer
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// Default audio format is pcm16 with sample rate of 24,000 Hz
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// Send user audio, must be Int16Array or ArrayBuffer
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// Default audio format is pcm16 with sample rate of 24,000 Hz
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if (audioBuffer instanceof Float32Array) {
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console.log('Received audio data from the input worklet:');
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if (audioBuffer instanceof Float32Array) {
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console.log("Received audio data from the input worklet:");
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if (gptClient) gptClient.appendInputAudio(RealtimeUtils.floatTo16BitPCM(audioBuffer));
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} else if (audioBuffer instanceof Buffer) {
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console.log('Received audio data as Buffer:');
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if (gptClient)
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gptClient.appendInputAudio(
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RealtimeUtils.floatTo16BitPCM(audioBuffer)
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);
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} else if (audioBuffer instanceof Buffer) {
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console.log("Received audio data as Buffer:");
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// Convert Buffer to ArrayBuffer
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const arrayBuffer = audioBuffer.buffer.slice(audioBuffer.byteOffset, audioBuffer.byteOffset + audioBuffer.byteLength);
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// Convert Buffer to ArrayBuffer
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const arrayBuffer = audioBuffer.buffer.slice(
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audioBuffer.byteOffset,
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audioBuffer.byteOffset + audioBuffer.byteLength
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);
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// Convert ArrayBuffer to Int16Array
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const float32Array = new Float32Array(arrayBuffer);
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// Convert ArrayBuffer to Int16Array
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const float32Array = new Float32Array(arrayBuffer);
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if (gptClient) gptClient.appendInputAudio(RealtimeUtils.floatTo16BitPCM(float32Array));
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} else {
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console.error('Invalid data type received in worklet');
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if (gptClient)
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gptClient.appendInputAudio(
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RealtimeUtils.floatTo16BitPCM(float32Array)
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);
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} else {
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console.error("Invalid data type received in worklet");
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// log the data type and return
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console.log('Data type:', typeof audioBuffer, audioBuffer);
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return;
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}
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} catch (error) {
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console.error('Error with OpenAI Realtime API:', error);
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}
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});
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gptClient.on('conversation.updated', (event: ConversationItem) => {
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const { item, delta } = event;
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if (item.content) {
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socket.emit('openai-response', item.content);
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}
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console.log('Playing audio response...', delta);
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if (delta && delta.audio) {
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socket.emit('openai-audio', delta.audio);
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}
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console.log('Conversation updated:', event);
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});
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gptClient.on('conversation.item.completed', (event: ConversationItem) => {
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const { item } = event;
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console.log('Conversation item completed:', item);
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if (item.type === 'message' && item.role === 'assistant' && item.formatted && item.formatted.audio) {
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console.log('Playing audio response...');
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//socket.emit('openai-audio', item.formatted.audio);
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} else {
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console.log('No audio content in this item.');
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}
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});
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} catch (error) {
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console.error('Error connecting to OpenAI Realtime API:', error);
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// log the data type and return
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console.log("Data type:", typeof audioBuffer, audioBuffer);
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return;
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}
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})();
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socket.on('disconnect', () => {
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console.log('A user disconnected');
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if (gptClient) gptClient.disconnect();
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} catch (error) {
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console.error("Error with OpenAI Realtime API:", error);
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}
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});
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socket.on('end', () => {
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console.log('A user ended the conversation');
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if (gptClient) gptClient.disconnect();
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gptClient.on("conversation.updated", (event: ConversationItem) => {
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const { item, delta } = event;
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if (item.content) {
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socket.emit("openai-response", item.content);
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}
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console.log("Playing audio response...", delta);
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if (delta && delta.audio) {
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socket.emit("openai-audio", delta.audio);
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}
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console.log("Conversation updated:", event);
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});
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gptClient.updateSession({
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instructions: `Du bist beim Kundensupport von Jannex und möchtest eine Erinnerung für ein Termin nachfragen.
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Bitte spreche mit einer ruhigen Stimme.`,
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});
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gptClient.updateSession({ voice: 'ballad' });
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gptClient.updateSession({
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turn_detection: { type: 'server_vad', threshold: 0.6, prefix_padding_ms: 300, silence_duration_ms: 500 },
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input_audio_transcription: { model: 'whisper-1' },
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input_audio_format: 'pcm16',
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output_audio_format: 'pcm16',
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max_response_output_tokens: 1500,
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modalities: ['audio', 'text'],
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});
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gptClient.on(
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"conversation.item.completed",
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(event: ConversationItem) => {
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const { item } = event;
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console.log("Conversation item completed:", item);
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gptClient.on('conversation.updated', (event: ConversationItem) => {
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const { item, delta } = event;
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if (gptClient) {
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const items = gptClient.conversation.getItems();
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if (
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item.type === "message" &&
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item.role === "assistant" &&
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item.formatted &&
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item.formatted.audio
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) {
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console.log("Playing audio response...");
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//socket.emit('openai-audio', item.formatted.audio);
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} else {
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console.log("No audio content in this item.");
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}
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// Handle the updated conversation items
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});
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}
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);
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} catch (error) {
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console.error("Error connecting to OpenAI Realtime API:", error);
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}
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})();
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//gptClient.sendUserMessageContent([{ type: 'input_text', text: `Wie geht es dir?` }]);
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gptClient.createResponse();
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socket.on("disconnect", () => {
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console.log("A user disconnected");
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if (gptClient) gptClient.disconnect();
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});
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socket.on("end", () => {
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console.log("A user ended the conversation");
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if (gptClient) gptClient.disconnect();
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});
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gptClient.updateSession({
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instructions: `Du bist beim Kundensupport von Jannex und möchtest eine Erinnerung für ein Termin nachfragen.
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Bitte spreche mit einer ruhigen Stimme.`,
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});
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gptClient.updateSession({ voice: "ballad" });
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gptClient.updateSession({
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turn_detection: {
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type: "server_vad",
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threshold: 0.6,
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prefix_padding_ms: 300,
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silence_duration_ms: 500,
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},
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input_audio_transcription: { model: "whisper-1" },
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input_audio_format: "pcm16",
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output_audio_format: "pcm16",
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max_response_output_tokens: 1500,
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modalities: ["audio", "text"],
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});
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gptClient.on("conversation.updated", (event: ConversationItem) => {
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const { item, delta } = event;
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if (gptClient) {
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const items = gptClient.conversation.getItems();
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}
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// Handle the updated conversation items
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});
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//gptClient.sendUserMessageContent([{ type: 'input_text', text: `Wie geht es dir?` }]);
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gptClient.createResponse();
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});
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});
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server.listen(PORT, '127.0.0.1', () => {
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console.log(`Server läuft unter http://localhost:${PORT}`);
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server.listen(PORT, "127.0.0.1", () => {
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console.log(`Server läuft unter http://localhost:${PORT}`);
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});
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@ -1,276 +1,272 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta
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name="viewport"
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content="width=device-width, initial-scale=1.0, user-scalable=no"
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/>
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<!-- Theme color for Chrome, Firefox OS and Opera -->
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<meta name="theme-color" content="#fd9644" />
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<!-- Theme color for Windows Phone -->
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<meta name="msapplication-navbutton-color" content="#fd9644" />
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<!-- Theme color for iOS Safari -->
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<meta
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name="apple-mobile-web-app-status-bar-style"
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content="black-translucent"
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/>
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<meta name="apple-mobile-web-app-capable" content="yes" />
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no">
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<!-- Theme color for Chrome, Firefox OS and Opera -->
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<meta name="theme-color" content="#fd9644">
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<!-- Theme color for Windows Phone -->
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<meta name="msapplication-navbutton-color" content="#fd9644">
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<!-- Theme color for iOS Safari -->
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<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
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<meta name="apple-mobile-web-app-capable" content="yes">
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<title>Voice Call with a voice bot</title>
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<style>
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body {
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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margin: 0;
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font-family: 'Roboto', 'Helvetica', 'Arial', sans-serif;
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}
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.center-container {
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text-align: center;
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}
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.material-button {
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font-family: 'Roboto', 'Helvetica', 'Arial', sans-serif;
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display: inline-block;
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padding: 0 16px;
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height: 36px;
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font-size: 14px;
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font-weight: 500;
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line-height: 36px;
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border-radius: 4px;
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text-transform: uppercase;
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text-align: center;
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letter-spacing: 0.5px;
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overflow: hidden;
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will-change: box-shadow;
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transition: box-shadow 0.2s cubic-bezier(0.4, 0, 0.2, 1);
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border: none;
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cursor: pointer;
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color: #fff;
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background-color: #fd9644;
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box-shadow: 0 2px 2px 0 rgba(0, 0, 0, 0.14), 0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 1px 5px 0 rgba(0, 0, 0, 0.12);
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}
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.material-button:hover {
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box-shadow: 0 4px 5px 0 rgba(0, 0, 0, 0.14), 0 1px 10px 0 rgba(0, 0, 0, 0.12), 0 2px 4px -1px rgba(0, 0, 0, 0.2);
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}
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.material-button:active {
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box-shadow: 0 8px 10px 1px rgba(0, 0, 0, 0.14), 0 3px 14px 2px rgba(0, 0, 0, 0.12), 0 5px 5px -3px rgba(0, 0, 0, 0.2);
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}
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</style>
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</head>
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<body>
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<div class="center-container">
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<h1>Voice Call with a Voice Bot</h1>
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<button id="startCallButton" class="material-button">Start Call</button>
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<p id="status">Status: Idle</p>
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<h3>Input: </h3>
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<p id="text-input">---</p>
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<h3>Output: </h3>
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<p id="text-output">---</p>
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</div>
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<script src="/socket.io/socket.io.js"></script>
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<script>
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const startCallButton = document.getElementById('startCallButton');
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const status = document.getElementById('status');
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const debugTextInput = document.getElementById('text-input');
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const debugTextOutput = document.getElementById('text-output');
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const socket = io('https://voice-test.ex.umbach.dev/'); // Connect to your server
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let localStream;
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let audioContext;
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let processor;
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let started = false;
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let audioQueue = [];
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startCallButton.addEventListener('click', async () => {
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if (started) {
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socket.emit('bot-end');
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processor.disconnect(audioContext.destination);
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localStream.getTracks().forEach(track => track.stop());
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localStream = null;
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audioContext.close();
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audioContext = null;
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processor = null;
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startCallButton.textContent = 'Start Call';
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status.textContent = 'Status: Call ended';
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started = false;
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return;
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<title>Voice Call with a voice bot</title>
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<style>
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body {
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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margin: 0;
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font-family: "Roboto", "Helvetica", "Arial", sans-serif;
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}
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started = true;
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.center-container {
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text-align: center;
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}
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startCallButton.textContent = 'End Call';
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.material-button {
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font-family: "Roboto", "Helvetica", "Arial", sans-serif;
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status.textContent = 'Status: Starting call...';
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console.log('Starting call...');
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display: inline-block;
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padding: 0 16px;
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height: 36px;
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font-size: 14px;
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font-weight: 500;
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line-height: 36px;
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border-radius: 4px;
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text-transform: uppercase;
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text-align: center;
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letter-spacing: 0.5px;
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overflow: hidden;
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will-change: box-shadow;
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transition: box-shadow 0.2s cubic-bezier(0.4, 0, 0.2, 1);
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border: none;
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cursor: pointer;
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color: #fff;
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background-color: #fd9644;
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box-shadow: 0 2px 2px 0 rgba(0, 0, 0, 0.14),
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0 3px 1px -2px rgba(0, 0, 0, 0.2), 0 1px 5px 0 rgba(0, 0, 0, 0.12);
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}
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.material-button:hover {
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box-shadow: 0 4px 5px 0 rgba(0, 0, 0, 0.14),
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0 1px 10px 0 rgba(0, 0, 0, 0.12), 0 2px 4px -1px rgba(0, 0, 0, 0.2);
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}
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.material-button:active {
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box-shadow: 0 8px 10px 1px rgba(0, 0, 0, 0.14),
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0 3px 14px 2px rgba(0, 0, 0, 0.12), 0 5px 5px -3px rgba(0, 0, 0, 0.2);
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}
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</style>
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</head>
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// Get local audio stream
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localStream = await navigator.mediaDevices.getUserMedia({ audio: true });
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console.log('Local audio stream obtained:', localStream);
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<body>
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<div class="center-container">
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<h1>Voice Call with a Voice Bot</h1>
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<button id="startCallButton" class="material-button">Start Call</button>
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<p id="status">Status: Idle</p>
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<h3>Input:</h3>
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<p id="text-input">---</p>
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<h3>Output:</h3>
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<p id="text-output">---</p>
|
||||
</div>
|
||||
|
||||
socket.emit('bot-start');
|
||||
<script src="/socket.io/socket.io.js"></script>
|
||||
<script>
|
||||
const startCallButton = document.getElementById("startCallButton");
|
||||
const status = document.getElementById("status");
|
||||
const debugTextInput = document.getElementById("text-input");
|
||||
const debugTextOutput = document.getElementById("text-output");
|
||||
|
||||
// Create AudioContext with sample rate of 24000 Hz
|
||||
audioContext = new (window.AudioContext || window.webkitAudioContext)({ sampleRate: 24000 });
|
||||
const source = audioContext.createMediaStreamSource(localStream);
|
||||
processor = audioContext.createScriptProcessor(4096, 1, 1);
|
||||
const socket = io(
|
||||
`${window.location.protocol}//${window.location.hostname}`
|
||||
); // Connect to your server
|
||||
let localStream;
|
||||
let audioContext;
|
||||
let processor;
|
||||
let started = false;
|
||||
|
||||
// Process audio data
|
||||
processor.onaudioprocess = (event) => {
|
||||
const inputData = event.inputBuffer.getChannelData(0);
|
||||
let audioQueue = [];
|
||||
|
||||
socket.emit('bot-voice-data', inputData); // Send as ArrayBuffer
|
||||
startCallButton.addEventListener("click", async () => {
|
||||
if (started) {
|
||||
socket.emit("bot-end");
|
||||
processor.disconnect(audioContext.destination);
|
||||
|
||||
// echo audio locally
|
||||
/*const outputData = event.outputBuffer.getChannelData(0);
|
||||
localStream.getTracks().forEach((track) => track.stop());
|
||||
localStream = null;
|
||||
|
||||
audioContext.close();
|
||||
audioContext = null;
|
||||
|
||||
processor = null;
|
||||
|
||||
startCallButton.textContent = "Start Call";
|
||||
status.textContent = "Status: Call ended";
|
||||
started = false;
|
||||
return;
|
||||
}
|
||||
|
||||
started = true;
|
||||
|
||||
startCallButton.textContent = "End Call";
|
||||
|
||||
status.textContent = "Status: Starting call...";
|
||||
console.log("Starting call...");
|
||||
|
||||
// Get local audio stream
|
||||
localStream = await navigator.mediaDevices.getUserMedia({
|
||||
audio: true,
|
||||
});
|
||||
console.log("Local audio stream obtained:", localStream);
|
||||
|
||||
socket.emit("bot-start");
|
||||
|
||||
// Create AudioContext with sample rate of 24000 Hz
|
||||
audioContext = new (window.AudioContext || window.webkitAudioContext)({
|
||||
sampleRate: 24000,
|
||||
});
|
||||
const source = audioContext.createMediaStreamSource(localStream);
|
||||
processor = audioContext.createScriptProcessor(4096, 1, 1);
|
||||
|
||||
// Process audio data
|
||||
processor.onaudioprocess = (event) => {
|
||||
const inputData = event.inputBuffer.getChannelData(0);
|
||||
|
||||
socket.emit("bot-voice-data", inputData); // Send as ArrayBuffer
|
||||
|
||||
// echo audio locally
|
||||
/*const outputData = event.outputBuffer.getChannelData(0);
|
||||
for (let sample = 0; sample < inputData.length; sample++) {
|
||||
outputData[sample] = inputData[sample];
|
||||
}*/
|
||||
|
||||
let outputData = event.outputBuffer.getChannelData(0);
|
||||
|
||||
let outputData = event.outputBuffer.getChannelData(0);
|
||||
|
||||
if (audioQueue.length > 0) {
|
||||
const chunk = audioQueue.splice(0, outputData.length);
|
||||
for (let i = 0; i < chunk.length; i++) {
|
||||
outputData[i] = chunk[i];
|
||||
if (audioQueue.length > 0) {
|
||||
const chunk = audioQueue.splice(0, outputData.length);
|
||||
for (let i = 0; i < chunk.length; i++) {
|
||||
outputData[i] = chunk[i];
|
||||
}
|
||||
} else {
|
||||
for (let i = 0; i < outputData.length; i++) {
|
||||
outputData[i] = 0;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
for (let i = 0; i < outputData.length; i++) {
|
||||
outputData[i] = 0;
|
||||
};
|
||||
|
||||
source.connect(processor);
|
||||
processor.connect(audioContext.destination);
|
||||
|
||||
status.textContent = "Status: Call started";
|
||||
});
|
||||
|
||||
socket.on("openai-response", (data) => {
|
||||
console.log("OpenAI response received:", data);
|
||||
try {
|
||||
response.textContent = "Response: " + data[0].transcript;
|
||||
} catch (error) {}
|
||||
});
|
||||
|
||||
socket.on("debug-text-input", (data) => {
|
||||
debugTextInput.textContent = data;
|
||||
});
|
||||
|
||||
socket.on("debug-text-output", (data) => {
|
||||
debugTextOutput.textContent = data;
|
||||
});
|
||||
|
||||
let dataSum = 0;
|
||||
let lastByte = undefined;
|
||||
let currentAudioID = "";
|
||||
|
||||
socket.on("openai-audio-start", (randomUUID) => {
|
||||
console.log("OpenAI audio start:", randomUUID);
|
||||
currentAudioID = randomUUID;
|
||||
dataSum = 0;
|
||||
});
|
||||
|
||||
socket.on("openai-audio", async (data, randomUUID) => {
|
||||
console.log("OpenAI audio received:", data, randomUUID);
|
||||
if (currentAudioID !== randomUUID) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Log the received data
|
||||
console.log("Received data type:", data.constructor.name);
|
||||
console.log("Received data:", data);
|
||||
|
||||
// Ensure data is an ArrayBuffer
|
||||
if (!(data instanceof ArrayBuffer)) {
|
||||
console.error("Received data is not an ArrayBuffer");
|
||||
return;
|
||||
}
|
||||
|
||||
dataSum += data.byteLength;
|
||||
console.log("Received data sum:", dataSum);
|
||||
|
||||
try {
|
||||
// Check if there was an odd byte from the previous chunk
|
||||
if (lastByte !== undefined) {
|
||||
// Combine the last byte with the current data
|
||||
const lastData = new Uint8Array(
|
||||
lastByte.byteLength + data.byteLength
|
||||
);
|
||||
lastData.set(new Uint8Array(lastByte), 0);
|
||||
lastData.set(new Uint8Array(data), lastByte.byteLength);
|
||||
data = lastData;
|
||||
lastByte = undefined; // Reset lastByte since it has been processed
|
||||
}
|
||||
|
||||
// Check if the combined data has an odd number of bytes
|
||||
if (data.byteLength % 2 !== 0) {
|
||||
// Save the last byte for the next chunk
|
||||
lastByte = data.slice(data.byteLength - 1);
|
||||
// Remove the last byte from the current data
|
||||
data = data.slice(0, data.byteLength - 1);
|
||||
}
|
||||
|
||||
// Convert ArrayBuffer to Int16Array
|
||||
const int16Array = new Int16Array(data);
|
||||
|
||||
// Normalize PCM16 data to the range [-1, 1]
|
||||
const float32Array = new Float32Array(int16Array.length);
|
||||
for (let i = 0; i < int16Array.length; i++) {
|
||||
float32Array[i] = int16Array[i] / 0x7fff;
|
||||
}
|
||||
|
||||
console.log("Normalized data:", float32Array.length);
|
||||
|
||||
// Add the normalized data to the audio queue
|
||||
for (let i = 0; i < float32Array.length; i++) {
|
||||
audioQueue.push(float32Array[i]);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Error processing audio data:", error);
|
||||
}
|
||||
});
|
||||
|
||||
socket.on("bot-stopSpeaking", () => {
|
||||
console.log("Bot stopped speaking");
|
||||
audioQueue = [];
|
||||
|
||||
};
|
||||
|
||||
source.connect(processor);
|
||||
processor.connect(audioContext.destination);
|
||||
|
||||
status.textContent = 'Status: Call started';
|
||||
});
|
||||
|
||||
socket.on('openai-response', (data) => {
|
||||
console.log('OpenAI response received:', data);
|
||||
try {
|
||||
response.textContent = 'Response: ' + data[0].transcript;
|
||||
} catch (error) {
|
||||
|
||||
}
|
||||
});
|
||||
|
||||
socket.on('debug-text-input', (data) => {
|
||||
debugTextInput.textContent = data;
|
||||
});
|
||||
|
||||
socket.on('debug-text-output', (data) => {
|
||||
debugTextOutput.textContent = data;
|
||||
});
|
||||
|
||||
|
||||
let dataSum = 0;
|
||||
let lastByte = undefined;
|
||||
let currentAudioID = "";
|
||||
|
||||
socket.on('openai-audio-start', (randomUUID) => {
|
||||
console.log('OpenAI audio start:', randomUUID);
|
||||
currentAudioID = randomUUID;
|
||||
dataSum = 0;
|
||||
});
|
||||
|
||||
socket.on('openai-audio', async (data, randomUUID) => {
|
||||
console.log('OpenAI audio received:', data, randomUUID);
|
||||
if (currentAudioID !== randomUUID) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Log the received data
|
||||
console.log('Received data type:', data.constructor.name);
|
||||
console.log('Received data:', data);
|
||||
|
||||
// Ensure data is an ArrayBuffer
|
||||
if (!(data instanceof ArrayBuffer)) {
|
||||
console.error('Received data is not an ArrayBuffer');
|
||||
return;
|
||||
}
|
||||
|
||||
dataSum += data.byteLength;
|
||||
console.log('Received data sum:', dataSum);
|
||||
|
||||
|
||||
|
||||
try {
|
||||
// Check if there was an odd byte from the previous chunk
|
||||
if (lastByte !== undefined) {
|
||||
// Combine the last byte with the current data
|
||||
const lastData = new Uint8Array(lastByte.byteLength + data.byteLength);
|
||||
lastData.set(new Uint8Array(lastByte), 0);
|
||||
lastData.set(new Uint8Array(data), lastByte.byteLength);
|
||||
data = lastData;
|
||||
lastByte = undefined; // Reset lastByte since it has been processed
|
||||
}
|
||||
|
||||
// Check if the combined data has an odd number of bytes
|
||||
if (data.byteLength % 2 !== 0) {
|
||||
// Save the last byte for the next chunk
|
||||
lastByte = data.slice(data.byteLength - 1);
|
||||
// Remove the last byte from the current data
|
||||
data = data.slice(0, data.byteLength - 1);
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
// Convert ArrayBuffer to Int16Array
|
||||
const int16Array = new Int16Array(data);
|
||||
|
||||
|
||||
|
||||
// Normalize PCM16 data to the range [-1, 1]
|
||||
const float32Array = new Float32Array(int16Array.length);
|
||||
for (let i = 0; i < int16Array.length; i++) {
|
||||
float32Array[i] = int16Array[i] / 0x7FFF;
|
||||
}
|
||||
|
||||
console.log('Normalized data:', float32Array.length);
|
||||
|
||||
// Add the normalized data to the audio queue
|
||||
for (let i = 0; i < float32Array.length; i++) {
|
||||
audioQueue.push(float32Array[i]);
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error processing audio data:', error);
|
||||
}
|
||||
});
|
||||
|
||||
socket.on('bot-stopSpeaking', () => {
|
||||
console.log('Bot stopped speaking');
|
||||
audioQueue = [];
|
||||
|
||||
// Clear the audio queue fade out
|
||||
const fadeOut = setInterval(() => {
|
||||
if (audioQueue.length > 0) {
|
||||
audioQueue = audioQueue.slice(0, audioQueue.length - 1);
|
||||
} else {
|
||||
clearInterval(fadeOut);
|
||||
}
|
||||
}, 100);
|
||||
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
|
||||
</html>
|
||||
// Clear the audio queue fade out
|
||||
const fadeOut = setInterval(() => {
|
||||
if (audioQueue.length > 0) {
|
||||
audioQueue = audioQueue.slice(0, audioQueue.length - 1);
|
||||
} else {
|
||||
clearInterval(fadeOut);
|
||||
}
|
||||
}, 100);
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
|
|
|
|||
|
|
@ -1,59 +1,61 @@
|
|||
import { Socket } from 'socket.io';
|
||||
import { DefaultEventsMap } from 'socket.io/dist/typed-events';
|
||||
import { Socket } from "socket.io";
|
||||
import { DefaultEventsMap } from "socket.io/dist/typed-events";
|
||||
|
||||
import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';
|
||||
import { createClient, LiveTranscriptionEvents } from "@deepgram/sdk";
|
||||
|
||||
import dotenv from 'dotenv';
|
||||
import { RealtimeUtils } from '@openai/realtime-api-beta';
|
||||
import { ElevenLabsClient } from 'elevenlabs';
|
||||
import { OptimizeStreamingLatency } from 'elevenlabs/api';
|
||||
import { Writable } from 'stream';
|
||||
import Cartesia from '@cartesia/cartesia-js';
|
||||
import WS from 'ws';
|
||||
import OpenAI from 'openai';
|
||||
import { ChatCompletionMessageParam } from 'openai/resources';
|
||||
import dotenv from "dotenv";
|
||||
import { RealtimeUtils } from "@openai/realtime-api-beta";
|
||||
import { ElevenLabsClient } from "elevenlabs";
|
||||
import { OptimizeStreamingLatency } from "elevenlabs/api";
|
||||
import { Writable } from "stream";
|
||||
import Cartesia from "@cartesia/cartesia-js";
|
||||
import WS from "ws";
|
||||
import OpenAI from "openai";
|
||||
import { ChatCompletionMessageParam } from "openai/resources";
|
||||
|
||||
import elevenlabs_wss from './elevenlabs_wss';
|
||||
import fs from 'fs';
|
||||
import elevenlabs_wss from "./elevenlabs_wss";
|
||||
import fs from "fs";
|
||||
|
||||
dotenv.config();
|
||||
|
||||
import { AssemblyAI, RealtimeTranscript } from 'assemblyai';
|
||||
import { AssemblyAI, RealtimeTranscript } from "assemblyai";
|
||||
|
||||
const assemblyAI = new AssemblyAI({
|
||||
apiKey: process.env.ASSEMBLYAI_API_KEY || '',
|
||||
apiKey: process.env.ASSEMBLYAI_API_KEY || "",
|
||||
});
|
||||
|
||||
const cartesia = new Cartesia({
|
||||
apiKey: process.env.CARTESIA_API_KEY,
|
||||
apiKey: process.env.CARTESIA_API_KEY,
|
||||
});
|
||||
|
||||
const openai = new OpenAI({
|
||||
apiKey: process.env.OpenAI_API_KEY,
|
||||
apiKey: process.env.OpenAI_API_KEY,
|
||||
});
|
||||
|
||||
// @ts-ignore
|
||||
global.WebSocket = WS;
|
||||
|
||||
export function voiceEngineSocketUser(socket: Socket<DefaultEventsMap, DefaultEventsMap, DefaultEventsMap, any>) {
|
||||
let transcript = '';
|
||||
let currentSpeachTime = 0;
|
||||
let currentSpeach: {
|
||||
charStartTimesMs: number[];
|
||||
chars: string[];
|
||||
}[] = [];
|
||||
export function voiceEngineSocketUser(
|
||||
socket: Socket<DefaultEventsMap, DefaultEventsMap, DefaultEventsMap, any>
|
||||
) {
|
||||
let transcript = "";
|
||||
let currentSpeachTime = 0;
|
||||
let currentSpeach: {
|
||||
charStartTimesMs: number[];
|
||||
chars: string[];
|
||||
}[] = [];
|
||||
|
||||
function logTranscript(prefix: string, text: string) {
|
||||
transcript += prefix + ':\t' + text + '\n';
|
||||
}
|
||||
function logTranscript(prefix: string, text: string) {
|
||||
transcript += prefix + ":\t" + text + "\n";
|
||||
}
|
||||
|
||||
console.log('A user connected');
|
||||
console.log("A user connected");
|
||||
|
||||
socket.on('bot-start', async () => {
|
||||
let userMessages: ChatCompletionMessageParam[] = [
|
||||
{
|
||||
role: 'system',
|
||||
content: `Telefonvertriebler bei Sentrovo
|
||||
socket.on("bot-start", async () => {
|
||||
let userMessages: ChatCompletionMessageParam[] = [
|
||||
{
|
||||
role: "system",
|
||||
content: `Telefonvertriebler bei Sentrovo
|
||||
Rolle Du bist Kevin von Sentrovo, einer KI-Agentur, die spezialisierte KI-Dienstleistungen anbietet. Deine Hauptaufgabe besteht darin, potenzielle Kunden durch Outbound-Anrufe zu erreichen und ein Kennenlerngespräch für ein KI-Audit zu vereinbaren. Du kennst die typischen Vorteile von KI-Lösungen für Unternehmen und kannst anschaulich erklären, wie ein Audit dabei hilft, Potenziale zu identifizieren.
|
||||
|
||||
Heutiges Datum: {{now}}
|
||||
|
|
@ -122,187 +124,199 @@ Bestätigung und Abschluss
|
|||
„Super, ich habe den Termin am [Datum] um [Uhrzeit] für uns eingetragen. Ich freue mich auf das Gespräch und bedanke mich für Ihre Zeit. Bis dann!“
|
||||
Taktik: Positiv und locker abschließen, um den Termin als einfach und unverbindlich zu präsentieren.
|
||||
Hinweis: Der Ton bleibt freundlich und entspannt, um Vertrauen aufzubauen und die Hemmschwelle für ein Kennenlerngespräch zu senken.`,
|
||||
},
|
||||
];
|
||||
},
|
||||
];
|
||||
|
||||
const vars: { [key: string]: string } = {
|
||||
Vorname: 'Max',
|
||||
Nachname: 'Mustermann',
|
||||
Unternehmen: 'Musterfirma',
|
||||
Position: 'Geschäftsführer',
|
||||
now: new Date().toLocaleDateString(),
|
||||
};
|
||||
const vars: { [key: string]: string } = {
|
||||
Vorname: "Max",
|
||||
Nachname: "Mustermann",
|
||||
Unternehmen: "Musterfirma",
|
||||
Position: "Geschäftsführer",
|
||||
now: new Date().toLocaleDateString(),
|
||||
};
|
||||
|
||||
for (const message of userMessages) {
|
||||
if (message.content) {
|
||||
for (const key in vars) {
|
||||
if (message.content && message.role === 'system') {
|
||||
if (typeof message.content === 'string') {
|
||||
message.content = message.content.replace(new RegExp(`{{${key}}}`, 'g'), vars[key as keyof typeof vars]);
|
||||
}
|
||||
}
|
||||
}
|
||||
for (const message of userMessages) {
|
||||
if (message.content) {
|
||||
for (const key in vars) {
|
||||
if (message.content && message.role === "system") {
|
||||
if (typeof message.content === "string") {
|
||||
message.content = message.content.replace(
|
||||
new RegExp(`{{${key}}}`, "g"),
|
||||
vars[key as keyof typeof vars]
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Bot started');
|
||||
console.log("Bot started");
|
||||
|
||||
async function speakText(text: string) {
|
||||
console.log('Generated message:', text);
|
||||
async function speakText(text: string) {
|
||||
console.log("Generated message:", text);
|
||||
|
||||
const time = new Date().getTime();
|
||||
let lastTime = 0;
|
||||
let firstMessage = true;
|
||||
const labs11 = await elevenlabs_wss.connect(
|
||||
{
|
||||
voice_id: 'N2lVS1w4EtoT3dr4eOWO',
|
||||
model_id: 'eleven_turbo_v2_5',
|
||||
const time = new Date().getTime();
|
||||
let lastTime = 0;
|
||||
let firstMessage = true;
|
||||
const labs11 = await elevenlabs_wss.connect(
|
||||
{
|
||||
voice_id: "N2lVS1w4EtoT3dr4eOWO",
|
||||
model_id: "eleven_turbo_v2_5",
|
||||
|
||||
optimize_streaming_latency: 4,
|
||||
output_format: 'pcm_24000',
|
||||
language_code: 'de',
|
||||
//sync_alignment: true,
|
||||
inactivity_timeout: 20,
|
||||
},
|
||||
(data, randomUUID) => {
|
||||
if (!data.audio) return;
|
||||
optimize_streaming_latency: 4,
|
||||
output_format: "pcm_24000",
|
||||
language_code: "de",
|
||||
//sync_alignment: true,
|
||||
inactivity_timeout: 20,
|
||||
},
|
||||
(data, randomUUID) => {
|
||||
if (!data.audio) return;
|
||||
|
||||
const audioBuffer = Buffer.from(data.audio, 'base64');
|
||||
const audioBuffer = Buffer.from(data.audio, "base64");
|
||||
|
||||
const audioBufferArray = new Uint8Array(audioBuffer);
|
||||
const audioBufferArray = new Uint8Array(audioBuffer);
|
||||
|
||||
socket.emit('openai-audio', audioBufferArray, randomUUID);
|
||||
console.log('Received audio data from Eleven Labs');
|
||||
socket.emit("openai-audio", audioBufferArray, randomUUID);
|
||||
console.log("Received audio data from Eleven Labs");
|
||||
|
||||
if (data.normalizedAlignment) {
|
||||
if (firstMessage) {
|
||||
firstMessage = false;
|
||||
currentSpeachTime = new Date().getTime();
|
||||
currentSpeach = [];
|
||||
}
|
||||
|
||||
currentSpeach.push(data.normalizedAlignment);
|
||||
}
|
||||
}
|
||||
);
|
||||
|
||||
const ws11 = labs11.socket;
|
||||
|
||||
socket.emit('openai-audio-start', labs11.randomUUID);
|
||||
|
||||
console.log('Connected to Eleven Labs. Took', new Date().getTime() - time, 'ms');
|
||||
|
||||
elevenlabs_wss.generate(ws11, {
|
||||
flush: true,
|
||||
text: text + ' ',
|
||||
|
||||
voice_settings: {
|
||||
style: 0.5,
|
||||
use_speaker_boost: true,
|
||||
stability: 0.5,
|
||||
similarity_boost: 0.5,
|
||||
},
|
||||
});
|
||||
elevenlabs_wss.generate(ws11, {
|
||||
//flush: true,
|
||||
text: '',
|
||||
});
|
||||
}
|
||||
|
||||
async function generateVoiceMessage() {
|
||||
const output = await openai.beta.chat.completions.parse({
|
||||
model: 'gpt-4o',
|
||||
temperature: 0.8,
|
||||
//max_completion_tokens: 100,
|
||||
messages: [...userMessages],
|
||||
});
|
||||
|
||||
const text = output.choices[0].message.content;
|
||||
|
||||
if (!text) return;
|
||||
|
||||
speakText(text);
|
||||
}
|
||||
|
||||
function addMessageToUser(message: ChatCompletionMessageParam) {
|
||||
userMessages.push(message);
|
||||
}
|
||||
|
||||
function addLastMessageToChat() {
|
||||
let oldText = '';
|
||||
let lastMs = 0;
|
||||
|
||||
const speakOffset = new Date().getTime() - currentSpeachTime;
|
||||
|
||||
let inrerrupt = false;
|
||||
|
||||
for (const alignment of currentSpeach) {
|
||||
let index = 0;
|
||||
for (const char of alignment.chars) {
|
||||
const ms = alignment.charStartTimesMs[index];
|
||||
|
||||
if (lastMs + ms < speakOffset) {
|
||||
oldText += char;
|
||||
} else {
|
||||
inrerrupt = true;
|
||||
break;
|
||||
}
|
||||
|
||||
index++;
|
||||
}
|
||||
|
||||
lastMs = alignment.charStartTimesMs[alignment.charStartTimesMs.length - 1];
|
||||
if (data.normalizedAlignment) {
|
||||
if (firstMessage) {
|
||||
firstMessage = false;
|
||||
currentSpeachTime = new Date().getTime();
|
||||
currentSpeach = [];
|
||||
}
|
||||
|
||||
if (inrerrupt) {
|
||||
oldText += ' ... **ABGEBROCHEN**';
|
||||
}
|
||||
currentSpeach.push(data.normalizedAlignment);
|
||||
}
|
||||
}
|
||||
);
|
||||
|
||||
if (oldText) {
|
||||
addMessageToUser({
|
||||
role: 'assistant',
|
||||
content: oldText,
|
||||
});
|
||||
}
|
||||
const ws11 = labs11.socket;
|
||||
|
||||
logTranscript('AI', oldText);
|
||||
socket.emit("openai-audio-start", labs11.randomUUID);
|
||||
|
||||
console.log(
|
||||
"Connected to Eleven Labs. Took",
|
||||
new Date().getTime() - time,
|
||||
"ms"
|
||||
);
|
||||
|
||||
elevenlabs_wss.generate(ws11, {
|
||||
flush: true,
|
||||
text: text + " ",
|
||||
|
||||
voice_settings: {
|
||||
style: 0.5,
|
||||
use_speaker_boost: true,
|
||||
stability: 0.5,
|
||||
similarity_boost: 0.5,
|
||||
},
|
||||
});
|
||||
elevenlabs_wss.generate(ws11, {
|
||||
//flush: true,
|
||||
text: "",
|
||||
});
|
||||
}
|
||||
|
||||
async function generateVoiceMessage() {
|
||||
const output = await openai.beta.chat.completions.parse({
|
||||
model: "gpt-4o",
|
||||
temperature: 0.8,
|
||||
//max_completion_tokens: 100,
|
||||
messages: [...userMessages],
|
||||
});
|
||||
|
||||
const text = output.choices[0].message.content;
|
||||
|
||||
if (!text) return;
|
||||
|
||||
speakText(text);
|
||||
}
|
||||
|
||||
function addMessageToUser(message: ChatCompletionMessageParam) {
|
||||
userMessages.push(message);
|
||||
}
|
||||
|
||||
function addLastMessageToChat() {
|
||||
let oldText = "";
|
||||
let lastMs = 0;
|
||||
|
||||
const speakOffset = new Date().getTime() - currentSpeachTime;
|
||||
|
||||
let inrerrupt = false;
|
||||
|
||||
for (const alignment of currentSpeach) {
|
||||
let index = 0;
|
||||
for (const char of alignment.chars) {
|
||||
const ms = alignment.charStartTimesMs[index];
|
||||
|
||||
if (lastMs + ms < speakOffset) {
|
||||
oldText += char;
|
||||
} else {
|
||||
inrerrupt = true;
|
||||
break;
|
||||
}
|
||||
|
||||
index++;
|
||||
}
|
||||
|
||||
speakText('Hallo hier ist Kevin von Sentrovo, spreche ich hier mit Herr Mustermann?');
|
||||
lastMs =
|
||||
alignment.charStartTimesMs[alignment.charStartTimesMs.length - 1];
|
||||
}
|
||||
|
||||
const transcriber = assemblyAI.realtime.transcriber({
|
||||
sampleRate: 16_000,
|
||||
encoding: 'pcm_s16le',
|
||||
if (inrerrupt) {
|
||||
oldText += " ... **ABGEBROCHEN**";
|
||||
}
|
||||
|
||||
if (oldText) {
|
||||
addMessageToUser({
|
||||
role: "assistant",
|
||||
content: oldText,
|
||||
});
|
||||
}
|
||||
|
||||
transcriber.on('open', ({ sessionId }) => {
|
||||
console.log(`Session opened with ID: ${sessionId}`);
|
||||
});
|
||||
logTranscript("AI", oldText);
|
||||
}
|
||||
|
||||
transcriber.on('error', (error: Error) => {
|
||||
console.error('Error:', error);
|
||||
});
|
||||
speakText(
|
||||
"Hallo hier ist Kevin von Sentrovo, spreche ich hier mit Herr Mustermann?"
|
||||
);
|
||||
|
||||
transcriber.on('close', (code: number, reason: string) => console.log('Session closed:', code, reason));
|
||||
const transcriber = assemblyAI.realtime.transcriber({
|
||||
sampleRate: 16_000,
|
||||
encoding: "pcm_s16le",
|
||||
});
|
||||
|
||||
transcriber.on('transcript', (transcript: RealtimeTranscript) => {
|
||||
if (!transcript.text) {
|
||||
return;
|
||||
}
|
||||
transcriber.on("open", ({ sessionId }) => {
|
||||
console.log(`Session opened with ID: ${sessionId}`);
|
||||
});
|
||||
|
||||
if (transcript.message_type === 'PartialTranscript') {
|
||||
console.log('Partial:', transcript.text);
|
||||
} else {
|
||||
console.log('Final:', transcript.text);
|
||||
}
|
||||
});
|
||||
transcriber.on("error", (error: Error) => {
|
||||
console.error("Error:", error);
|
||||
});
|
||||
|
||||
console.log('Connecting to real-time transcript service');
|
||||
await transcriber.connect();
|
||||
transcriber.on("close", (code: number, reason: string) =>
|
||||
console.log("Session closed:", code, reason)
|
||||
);
|
||||
|
||||
console.log('Starting recording');
|
||||
transcriber.on("transcript", (transcript: RealtimeTranscript) => {
|
||||
if (!transcript.text) {
|
||||
return;
|
||||
}
|
||||
|
||||
/*
|
||||
if (transcript.message_type === "PartialTranscript") {
|
||||
console.log("Partial:", transcript.text);
|
||||
} else {
|
||||
console.log("Final:", transcript.text);
|
||||
}
|
||||
});
|
||||
|
||||
console.log("Connecting to real-time transcript service");
|
||||
await transcriber.connect();
|
||||
|
||||
console.log("Starting recording");
|
||||
|
||||
/*
|
||||
{
|
||||
//data.speech_final
|
||||
if (data.is_final) {
|
||||
|
|
@ -336,47 +350,50 @@ Hinweis: Der Ton bleibt freundlich und entspannt, um Vertrauen aufzubauen und di
|
|||
//console.log('ts\t', data);
|
||||
} */
|
||||
|
||||
// STEP 4: Fetch the audio stream and send it to the live transcription connection
|
||||
// STEP 4: Fetch the audio stream and send it to the live transcription connection
|
||||
|
||||
socket.on('bot-voice-data', (audioBuffer: any) => {
|
||||
// Convert Buffer to ArrayBuffer
|
||||
const arrayBuffer = audioBuffer.buffer.slice(audioBuffer.byteOffset, audioBuffer.byteOffset + audioBuffer.byteLength);
|
||||
socket.on("bot-voice-data", (audioBuffer: any) => {
|
||||
// Convert Buffer to ArrayBuffer
|
||||
const arrayBuffer = audioBuffer.buffer.slice(
|
||||
audioBuffer.byteOffset,
|
||||
audioBuffer.byteOffset + audioBuffer.byteLength
|
||||
);
|
||||
|
||||
// Convert ArrayBuffer to Int16Array
|
||||
const float32Array = new Float32Array(arrayBuffer);
|
||||
// Convert ArrayBuffer to Int16Array
|
||||
const float32Array = new Float32Array(arrayBuffer);
|
||||
|
||||
//console.log('Received audio data from User:', data);
|
||||
//dgConnection.send(RealtimeUtils.floatTo16BitPCM(float32Array));
|
||||
//transcriber.stream()
|
||||
//console.log('Received audio data from User:', data);
|
||||
//dgConnection.send(RealtimeUtils.floatTo16BitPCM(float32Array));
|
||||
//transcriber.stream()
|
||||
|
||||
const audioBufferArray = RealtimeUtils.floatTo16BitPCM(float32Array);
|
||||
const audioBufferArray = RealtimeUtils.floatTo16BitPCM(float32Array);
|
||||
|
||||
transcriber.sendAudio(audioBufferArray);
|
||||
});
|
||||
|
||||
function stopConversation() {
|
||||
console.log('Ending conversation');
|
||||
addLastMessageToChat();
|
||||
|
||||
//dgConnection.disconnect();
|
||||
socket.emit('bot-stopSpeaking');
|
||||
|
||||
// write the transcript to the file
|
||||
const uuid = new Date().getTime();
|
||||
|
||||
// create folder
|
||||
fs.mkdirSync(`transcripts/${uuid}`, { recursive: true });
|
||||
|
||||
fs.writeFileSync(`transcripts/${uuid}/transcript.txt`, transcript);
|
||||
}
|
||||
|
||||
socket.on('bot-end', () => {
|
||||
stopConversation();
|
||||
});
|
||||
|
||||
socket.on('disconnect', () => {
|
||||
stopConversation();
|
||||
console.log('A user disconnected');
|
||||
});
|
||||
transcriber.sendAudio(audioBufferArray);
|
||||
});
|
||||
|
||||
function stopConversation() {
|
||||
console.log("Ending conversation");
|
||||
addLastMessageToChat();
|
||||
|
||||
//dgConnection.disconnect();
|
||||
socket.emit("bot-stopSpeaking");
|
||||
|
||||
// write the transcript to the file
|
||||
const uuid = new Date().getTime();
|
||||
|
||||
// create folder
|
||||
fs.mkdirSync(`transcripts/${uuid}`, { recursive: true });
|
||||
|
||||
fs.writeFileSync(`transcripts/${uuid}/transcript.txt`, transcript);
|
||||
}
|
||||
|
||||
socket.on("bot-end", () => {
|
||||
stopConversation();
|
||||
});
|
||||
|
||||
socket.on("disconnect", () => {
|
||||
stopConversation();
|
||||
console.log("A user disconnected");
|
||||
});
|
||||
});
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue