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<script lang="ts"> | |
import { toast } from 'svelte-sonner'; | |
import { createEventDispatcher, tick, getContext } from 'svelte'; | |
import { config, settings } from '$lib/stores'; | |
import { blobToFile, calculateSHA256, findWordIndices } from '$lib/utils'; | |
import { transcribeAudio } from '$lib/apis/audio'; | |
const i18n = getContext('i18n'); | |
const dispatch = createEventDispatcher(); | |
export let recording = false; | |
let loading = false; | |
let confirmed = false; | |
let durationSeconds = 0; | |
let durationCounter = null; | |
let transcription = ''; | |
const startDurationCounter = () => { | |
durationCounter = setInterval(() => { | |
durationSeconds++; | |
}, 1000); | |
}; | |
const stopDurationCounter = () => { | |
clearInterval(durationCounter); | |
durationSeconds = 0; | |
}; | |
$: if (recording) { | |
startRecording(); | |
} else { | |
stopRecording(); | |
} | |
const formatSeconds = (seconds) => { | |
const minutes = Math.floor(seconds / 60); | |
const remainingSeconds = seconds % 60; | |
const formattedSeconds = remainingSeconds < 10 ? `0${remainingSeconds}` : remainingSeconds; | |
return `${minutes}:${formattedSeconds}`; | |
}; | |
let speechRecognition; | |
let mediaRecorder; | |
let audioChunks = []; | |
const MIN_DECIBELS = -45; | |
const VISUALIZER_BUFFER_LENGTH = 300; | |
let visualizerData = Array(VISUALIZER_BUFFER_LENGTH).fill(0); | |
// Function to calculate the RMS level from time domain data | |
const calculateRMS = (data: Uint8Array) => { | |
let sumSquares = 0; | |
for (let i = 0; i < data.length; i++) { | |
const normalizedValue = (data[i] - 128) / 128; // Normalize the data | |
sumSquares += normalizedValue * normalizedValue; | |
} | |
return Math.sqrt(sumSquares / data.length); | |
}; | |
const normalizeRMS = (rms) => { | |
rms = rms * 10; | |
const exp = 1.5; // Adjust exponent value; values greater than 1 expand larger numbers more and compress smaller numbers more | |
const scaledRMS = Math.pow(rms, exp); | |
// Scale between 0.01 (1%) and 1.0 (100%) | |
return Math.min(1.0, Math.max(0.01, scaledRMS)); | |
}; | |
const analyseAudio = (stream) => { | |
const audioContext = new AudioContext(); | |
const audioStreamSource = audioContext.createMediaStreamSource(stream); | |
const analyser = audioContext.createAnalyser(); | |
analyser.minDecibels = MIN_DECIBELS; | |
audioStreamSource.connect(analyser); | |
const bufferLength = analyser.frequencyBinCount; | |
const domainData = new Uint8Array(bufferLength); | |
const timeDomainData = new Uint8Array(analyser.fftSize); | |
let lastSoundTime = Date.now(); | |
const detectSound = () => { | |
const processFrame = () => { | |
if (!recording || loading) return; | |
if (recording && !loading) { | |
analyser.getByteTimeDomainData(timeDomainData); | |
analyser.getByteFrequencyData(domainData); | |
// Calculate RMS level from time domain data | |
const rmsLevel = calculateRMS(timeDomainData); | |
// Push the calculated decibel level to visualizerData | |
visualizerData.push(normalizeRMS(rmsLevel)); | |
// Ensure visualizerData array stays within the buffer length | |
if (visualizerData.length >= VISUALIZER_BUFFER_LENGTH) { | |
visualizerData.shift(); | |
} | |
visualizerData = visualizerData; | |
// if (domainData.some((value) => value > 0)) { | |
// lastSoundTime = Date.now(); | |
// } | |
// if (recording && Date.now() - lastSoundTime > 3000) { | |
// if ($settings?.speechAutoSend ?? false) { | |
// confirmRecording(); | |
// } | |
// } | |
} | |
window.requestAnimationFrame(processFrame); | |
}; | |
window.requestAnimationFrame(processFrame); | |
}; | |
detectSound(); | |
}; | |
const transcribeHandler = async (audioBlob) => { | |
// Create a blob from the audio chunks | |
await tick(); | |
const file = blobToFile(audioBlob, 'recording.wav'); | |
const res = await transcribeAudio(localStorage.token, file).catch((error) => { | |
toast.error(error); | |
return null; | |
}); | |
if (res) { | |
console.log(res.text); | |
dispatch('confirm', res.text); | |
} | |
}; | |
const saveRecording = (blob) => { | |
const url = URL.createObjectURL(blob); | |
const a = document.createElement('a'); | |
document.body.appendChild(a); | |
a.style = 'display: none'; | |
a.href = url; | |
a.download = 'recording.wav'; | |
a.click(); | |
window.URL.revokeObjectURL(url); | |
}; | |
const startRecording = async () => { | |
startDurationCounter(); | |
const stream = await navigator.mediaDevices.getUserMedia({ audio: true }); | |
mediaRecorder = new MediaRecorder(stream); | |
mediaRecorder.onstart = () => { | |
console.log('Recording started'); | |
audioChunks = []; | |
analyseAudio(stream); | |
}; | |
mediaRecorder.ondataavailable = (event) => audioChunks.push(event.data); | |
mediaRecorder.onstop = async () => { | |
console.log('Recording stopped'); | |
if (($settings?.audio?.stt?.engine ?? '') === 'web') { | |
audioChunks = []; | |
} else { | |
if (confirmed) { | |
const audioBlob = new Blob(audioChunks, { type: 'audio/wav' }); | |
await transcribeHandler(audioBlob); | |
confirmed = false; | |
loading = false; | |
} | |
audioChunks = []; | |
recording = false; | |
} | |
}; | |
mediaRecorder.start(); | |
if ($config.audio.stt.engine === 'web' || ($settings?.audio?.stt?.engine ?? '') === 'web') { | |
if ('SpeechRecognition' in window || 'webkitSpeechRecognition' in window) { | |
// Create a SpeechRecognition object | |
speechRecognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)(); | |
// Set continuous to true for continuous recognition | |
speechRecognition.continuous = true; | |
// Set the timeout for turning off the recognition after inactivity (in milliseconds) | |
const inactivityTimeout = 2000; // 3 seconds | |
let timeoutId; | |
// Start recognition | |
speechRecognition.start(); | |
// Event triggered when speech is recognized | |
speechRecognition.onresult = async (event) => { | |
// Clear the inactivity timeout | |
clearTimeout(timeoutId); | |
// Handle recognized speech | |
console.log(event); | |
const transcript = event.results[Object.keys(event.results).length - 1][0].transcript; | |
transcription = `${transcription}${transcript}`; | |
await tick(); | |
document.getElementById('chat-textarea')?.focus(); | |
// Restart the inactivity timeout | |
timeoutId = setTimeout(() => { | |
console.log('Speech recognition turned off due to inactivity.'); | |
speechRecognition.stop(); | |
}, inactivityTimeout); | |
}; | |
// Event triggered when recognition is ended | |
speechRecognition.onend = function () { | |
// Restart recognition after it ends | |
console.log('recognition ended'); | |
confirmRecording(); | |
dispatch('confirm', transcription); | |
confirmed = false; | |
loading = false; | |
}; | |
// Event triggered when an error occurs | |
speechRecognition.onerror = function (event) { | |
console.log(event); | |
toast.error($i18n.t(`Speech recognition error: {{error}}`, { error: event.error })); | |
dispatch('cancel'); | |
stopRecording(); | |
}; | |
} | |
} | |
}; | |
const stopRecording = async () => { | |
if (recording && mediaRecorder) { | |
await mediaRecorder.stop(); | |
} | |
stopDurationCounter(); | |
audioChunks = []; | |
}; | |
const confirmRecording = async () => { | |
loading = true; | |
confirmed = true; | |
if (recording && mediaRecorder) { | |
await mediaRecorder.stop(); | |
} | |
clearInterval(durationCounter); | |
}; | |
</script> | |
<div | |
class="{loading | |
? ' bg-gray-100/50 dark:bg-gray-850/50' | |
: 'bg-indigo-300/10 dark:bg-indigo-500/10 '} rounded-full flex p-2.5" | |
> | |
<div class="flex items-center mr-1"> | |
<button | |
type="button" | |
class="p-1.5 | |
{loading | |
? ' bg-gray-200 dark:bg-gray-700/50' | |
: 'bg-indigo-400/20 text-indigo-600 dark:text-indigo-300 '} | |
rounded-full" | |
on:click={async () => { | |
dispatch('cancel'); | |
stopRecording(); | |
}} | |
> | |
<svg | |
xmlns="http://www.w3.org/2000/svg" | |
fill="none" | |
viewBox="0 0 24 24" | |
stroke-width="3" | |
stroke="currentColor" | |
class="size-4" | |
> | |
<path stroke-linecap="round" stroke-linejoin="round" d="M6 18 18 6M6 6l12 12" /> | |
</svg> | |
</button> | |
</div> | |
<div | |
class="flex flex-1 self-center items-center justify-between ml-2 mx-1 overflow-hidden h-6" | |
dir="rtl" | |
> | |
<div class="flex-1 flex items-center gap-0.5 h-6"> | |
{#each visualizerData.slice().reverse() as rms} | |
<div | |
class="w-[2px] | |
{loading | |
? ' bg-gray-500 dark:bg-gray-400 ' | |
: 'bg-indigo-500 dark:bg-indigo-400 '} | |
inline-block h-full" | |
style="height: {Math.min(100, Math.max(14, rms * 100))}%;" | |
/> | |
{/each} | |
</div> | |
</div> | |
<div class=" mx-1.5 pr-1 flex justify-center items-center"> | |
<div | |
class="text-sm | |
{loading ? ' text-gray-500 dark:text-gray-400 ' : ' text-indigo-400 '} | |
font-medium flex-1 mx-auto text-center" | |
> | |
{formatSeconds(durationSeconds)} | |
</div> | |
</div> | |
<div class="flex items-center mr-1"> | |
{#if loading} | |
<div class=" text-gray-500 rounded-full cursor-not-allowed"> | |
<svg | |
width="24" | |
height="24" | |
viewBox="0 0 24 24" | |
xmlns="http://www.w3.org/2000/svg" | |
fill="currentColor" | |
><style> | |
.spinner_OSmW { | |
transform-origin: center; | |
animation: spinner_T6mA 0.75s step-end infinite; | |
} | |
@keyframes spinner_T6mA { | |
8.3% { | |
transform: rotate(30deg); | |
} | |
16.6% { | |
transform: rotate(60deg); | |
} | |
25% { | |
transform: rotate(90deg); | |
} | |
33.3% { | |
transform: rotate(120deg); | |
} | |
41.6% { | |
transform: rotate(150deg); | |
} | |
50% { | |
transform: rotate(180deg); | |
} | |
58.3% { | |
transform: rotate(210deg); | |
} | |
66.6% { | |
transform: rotate(240deg); | |
} | |
75% { | |
transform: rotate(270deg); | |
} | |
83.3% { | |
transform: rotate(300deg); | |
} | |
91.6% { | |
transform: rotate(330deg); | |
} | |
100% { | |
transform: rotate(360deg); | |
} | |
} | |
</style><g class="spinner_OSmW" | |
><rect x="11" y="1" width="2" height="5" opacity=".14" /><rect | |
x="11" | |
y="1" | |
width="2" | |
height="5" | |
transform="rotate(30 12 12)" | |
opacity=".29" | |
/><rect | |
x="11" | |
y="1" | |
width="2" | |
height="5" | |
transform="rotate(60 12 12)" | |
opacity=".43" | |
/><rect | |
x="11" | |
y="1" | |
width="2" | |
height="5" | |
transform="rotate(90 12 12)" | |
opacity=".57" | |
/><rect | |
x="11" | |
y="1" | |
width="2" | |
height="5" | |
transform="rotate(120 12 12)" | |
opacity=".71" | |
/><rect | |
x="11" | |
y="1" | |
width="2" | |
height="5" | |
transform="rotate(150 12 12)" | |
opacity=".86" | |
/><rect x="11" y="1" width="2" height="5" transform="rotate(180 12 12)" /></g | |
></svg | |
> | |
</div> | |
{:else} | |
<button | |
type="button" | |
class="p-1.5 bg-indigo-500 text-white dark:bg-indigo-500 dark:text-blue-950 rounded-full" | |
on:click={async () => { | |
await confirmRecording(); | |
}} | |
> | |
<svg | |
xmlns="http://www.w3.org/2000/svg" | |
fill="none" | |
viewBox="0 0 24 24" | |
stroke-width="2.5" | |
stroke="currentColor" | |
class="size-4" | |
> | |
<path stroke-linecap="round" stroke-linejoin="round" d="m4.5 12.75 6 6 9-13.5" /> | |
</svg> | |
</button> | |
{/if} | |
</div> | |
</div> | |
<style> | |
.visualizer { | |
display: flex; | |
height: 100%; | |
} | |
.visualizer-bar { | |
width: 2px; | |
background-color: #4a5aba; /* or whatever color you need */ | |
} | |
</style> | |