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Update index.html
Browse files- index.html +70 -45
index.html
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@@ -24,11 +24,21 @@
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border: 1px solid #ccc;
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min-height: 100px;
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}
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</style>
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</head>
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<body>
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<h1>Simple Speech Recognition</h1>
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<div id="status">Loading model...</div>
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<button id="startBtn" disabled>Start Recording</button>
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<div id="output"></div>
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@@ -44,57 +54,72 @@
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const output = document.getElementById('output');
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// Initialize the model
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audioChunks = [];
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} catch (e) {
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console.error('
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statusElement.textContent = 'Error
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}
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} catch (e) {
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console.error('Recording error:', e);
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statusElement.textContent = 'Error accessing microphone';
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}
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} else {
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// Stop recording
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mediaRecorder.stop();
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mediaRecorder.stream.getTracks().forEach(track => track.stop());
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isRecording = false;
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startBtn.textContent = 'Start Recording';
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statusElement.textContent = 'Processing...';
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}
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}
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</script>
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</body>
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</html>
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border: 1px solid #ccc;
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min-height: 100px;
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}
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.ready {
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color: green;
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font-weight: bold;
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}
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.loading {
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color: orange;
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}
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.error {
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color: red;
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}
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</style>
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</head>
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<body>
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<h1>Simple Speech Recognition</h1>
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<div id="status" class="loading">Loading model...</div>
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<button id="startBtn" disabled>Start Recording</button>
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<div id="output"></div>
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const output = document.getElementById('output');
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// Initialize the model
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async function initModel() {
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try {
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console.log('Starting model loading...');
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statusElement.textContent = 'Loading model...';
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statusElement.className = 'loading';
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const model = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny');
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console.log('Model loaded successfully!');
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statusElement.textContent = 'MODEL LOADED SUCCESSFULLY! Ready to record.';
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statusElement.className = 'ready';
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startBtn.disabled = false;
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startBtn.onclick = async () => {
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if (!isRecording) {
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try {
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const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
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mediaRecorder = new MediaRecorder(stream);
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audioChunks = [];
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mediaRecorder.ondataavailable = (event) => {
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audioChunks.push(event.data);
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};
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mediaRecorder.onstop = async () => {
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const audioBlob = new Blob(audioChunks, { type: 'audio/wav' });
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try {
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const result = await model(audioBlob);
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output.textContent += result.text + ' ';
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} catch (e) {
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console.error('Transcription error:', e);
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statusElement.textContent = 'Error during transcription';
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statusElement.className = 'error';
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}
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audioChunks = [];
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};
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mediaRecorder.start(1000);
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isRecording = true;
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startBtn.textContent = 'Stop Recording';
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statusElement.textContent = 'Recording...';
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statusElement.className = 'loading';
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} catch (e) {
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console.error('Recording error:', e);
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statusElement.textContent = 'Error accessing microphone';
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statusElement.className = 'error';
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}
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} else {
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mediaRecorder.stop();
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mediaRecorder.stream.getTracks().forEach(track => track.stop());
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isRecording = false;
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startBtn.textContent = 'Start Recording';
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statusElement.textContent = 'Processing...';
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statusElement.className = 'loading';
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}
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};
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} catch (e) {
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console.error('Model loading error:', e);
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statusElement.textContent = 'Error loading model: ' + e.message;
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statusElement.className = 'error';
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}
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}
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// Start loading the model
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initModel();
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</script>
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</body>
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</html>
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