Compare commits
| Author | SHA1 | Date | |
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2f013b4751 | ||
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66dce4415a |
+3
-3
@@ -1,7 +1,7 @@
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{
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"name": "cheating-daddy",
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"productName": "cheating-daddy",
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"version": "0.5.7",
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"version": "0.5.8",
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"description": "cheating daddy",
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"main": "src/index.js",
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"scripts": {
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@@ -19,8 +19,8 @@
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"cheating daddy ai assistant for interviews"
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],
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"author": {
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"name": "sohzm",
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"email": "sohambharambe9@gmail.com"
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"name": "ShiftyX1",
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"email": "lead@pyserve.org"
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},
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"license": "GPL-3.0",
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"dependencies": {
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+15
-2
@@ -281,6 +281,7 @@ async function sendImageMessage(base64Image, prompt) {
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let audioChunks = [];
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let lastAudioTime = 0;
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const SILENCE_THRESHOLD_MS = 1500; // 1.5 seconds of silence
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let silenceCheckTimer = null;
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async function processAudioChunk(base64Audio, mimeType) {
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if (!openaiClient) {
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@@ -294,8 +295,20 @@ async function processAudioChunk(base64Audio, mimeType) {
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audioChunks.push(buffer);
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lastAudioTime = now;
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// Check for silence (no new audio for SILENCE_THRESHOLD_MS)
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// This is a simple approach - in production you'd want proper VAD
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// Clear existing timer
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if (silenceCheckTimer) {
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clearTimeout(silenceCheckTimer);
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}
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// Set timer to check for silence
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silenceCheckTimer = setTimeout(async () => {
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const silenceDuration = Date.now() - lastAudioTime;
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if (silenceDuration >= SILENCE_THRESHOLD_MS && audioChunks.length > 0) {
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console.log('Silence detected, flushing audio for transcription...');
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await flushAudioAndTranscribe();
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}
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}, SILENCE_THRESHOLD_MS);
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return { success: true, buffering: true };
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}
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