forked from MinhQuan/MiscCorpo
ui: modernize UI to Mainframe design system
This commit is contained in:
hiep200311
@@ -0,0 +1,286 @@
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if (document.querySelector(".upload-view").style.display !== "none") {
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const uploadArea = document.getElementById("uploadArea");
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const fileInput = document.getElementById("fileInput");
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const uploadBtn = document.getElementById("uploadBtn");
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const fileInfo = document.getElementById("fileInfo");
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const progressContainer = document.getElementById("progressContainer");
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const progressFill = document.getElementById("progressFill");
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const uploadProgressFill =
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document.getElementById("uploadProgressFill");
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const progressText = document.getElementById("progressText");
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const resultArea = document.getElementById("resultArea");
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const transcriptPreview = document.getElementById("transcriptPreview");
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let selectedFile = null;
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uploadArea.addEventListener("click", () => fileInput.click());
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uploadArea.addEventListener("dragover", (e) => {
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e.preventDefault();
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uploadArea.classList.add("dragover");
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});
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uploadArea.addEventListener("dragleave", () =>
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uploadArea.classList.remove("dragover"),
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);
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uploadArea.addEventListener("drop", (e) => {
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e.preventDefault();
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uploadArea.classList.remove("dragover");
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if (e.dataTransfer.files.length > 0)
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handleFileSelect(e.dataTransfer.files[0]);
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});
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fileInput.addEventListener("change", (e) => {
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if (e.target.files.length > 0) handleFileSelect(e.target.files[0]);
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});
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function handleFileSelect(file) {
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selectedFile = file;
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const sizeInMB = (file.size / (1024 * 1024)).toFixed(2);
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fileInfo.style.display = "block";
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fileInfo.innerHTML = `<strong>Tệp đã chọn:</strong> ${file.name}<br><strong>Kích thước:</strong> ${sizeInMB} MB`;
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uploadBtn.style.display = "inline-block";
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}
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uploadBtn.addEventListener("click", async () => {
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if (!selectedFile) return;
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const language = document.querySelector(
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'input[name="language"]:checked',
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).value;
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const model = document.getElementById("modelSelect").value;
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uploadBtn.disabled = true;
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progressContainer.style.display = "block";
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resultArea.style.display = "none";
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try {
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await uploadFileInChunks(selectedFile, language, model);
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} catch (error) {
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alert("Tải lên thất bại: " + error.message);
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uploadBtn.disabled = false;
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progressContainer.style.display = "none";
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}
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});
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async function uploadFileInChunks(file, language, model) {
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const CHUNK_SIZE = 3 * 60 * 1000; // 3 minutes in milliseconds
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let jobId = null;
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// Create audio context to get duration
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const audioContext = new (
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window.AudioContext || window.webkitAudioContext
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)();
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const arrayBuffer = await file.arrayBuffer();
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const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
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const duration = audioBuffer.duration * 1000; // Duration in milliseconds
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const totalChunks = Math.ceil(duration / CHUNK_SIZE);
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progressText.textContent = `Đang chuẩn bị tải lên ${totalChunks} phần...`;
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for (let i = 0; i < totalChunks; i++) {
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const start = i * CHUNK_SIZE;
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const end = Math.min(start + CHUNK_SIZE, duration);
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progressText.textContent = `Đang tải lên phần ${i + 1}/${totalChunks}...`;
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// Extract chunk from audio
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const chunkBlob = await extractAudioChunk(
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audioBuffer,
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start,
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end,
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file.type,
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);
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const formData = new FormData();
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formData.append("chunk", chunkBlob, `chunk_${i}.mp3`);
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formData.append("chunk_index", i);
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formData.append("total_chunks", totalChunks);
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formData.append("filename", file.name);
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formData.append("language", language);
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formData.append("model", model);
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if (jobId) {
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formData.append("job_id", jobId);
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}
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const response = await fetch("/upload-chunk", {
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method: "POST",
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body: formData,
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});
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const data = await response.json();
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if (!response.ok) {
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throw new Error(data.error || "Upload failed");
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}
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jobId = data.job_id;
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// Update upload progress
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const uploadProgress = ((i + 1) / totalChunks) * 100;
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uploadProgressFill.style.width = uploadProgress + "%";
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if (data.status === "processing") {
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progressText.textContent =
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"Tất cả các phần đã được tải lên! Đang bắt đầu phiên âm...";
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startPolling(jobId);
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return;
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}
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}
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}
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async function extractAudioChunk(
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audioBuffer,
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startTime,
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endTime,
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mimeType,
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) {
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const sampleRate = audioBuffer.sampleRate;
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const startSample = Math.floor((startTime * sampleRate) / 1000);
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const endSample = Math.floor((endTime * sampleRate) / 1000);
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const frameCount = endSample - startSample;
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// Create new audio buffer for chunk
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const chunkBuffer = new AudioContext().createBuffer(
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audioBuffer.numberOfChannels,
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frameCount,
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sampleRate,
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);
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// Copy data
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for (
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let channel = 0;
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channel < audioBuffer.numberOfChannels;
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channel++
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) {
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const channelData = audioBuffer.getChannelData(channel);
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const chunkData = chunkBuffer.getChannelData(channel);
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for (let i = 0; i < frameCount; i++) {
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chunkData[i] = channelData[startSample + i];
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}
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}
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// Convert to WAV first, then let server handle conversion
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const wavBlob = audioBufferToWav(chunkBuffer);
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// If it's already an audio file, return as is, otherwise convert
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if (mimeType.includes("audio")) {
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return wavBlob;
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} else {
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// For video files, we'll send the audio portion
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return wavBlob;
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}
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}
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function audioBufferToWav(buffer) {
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const numChannels = buffer.numberOfChannels;
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const sampleRate = buffer.sampleRate;
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const format = 1; // PCM
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const bitDepth = 16;
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let resultBuffer;
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if (numChannels === 2) {
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resultBuffer = interleave(
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buffer.getChannelData(0),
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buffer.getChannelData(1),
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);
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} else {
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resultBuffer = buffer.getChannelData(0);
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}
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const dataLength = resultBuffer.length * 2;
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const bufferLength = 44 + dataLength;
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const arrayBuffer = new ArrayBuffer(bufferLength);
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const view = new DataView(arrayBuffer);
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// Write WAV header
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writeString(view, 0, "RIFF");
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view.setUint32(4, 36 + dataLength, true);
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writeString(view, 8, "WAVE");
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writeString(view, 12, "fmt ");
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view.setUint32(16, 16, true);
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view.setUint16(20, format, true);
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view.setUint16(22, numChannels, true);
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view.setUint32(24, sampleRate, true);
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view.setUint32(28, sampleRate * 4, true);
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view.setUint16(32, numChannels * 2, true);
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view.setUint16(34, bitDepth, true);
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writeString(view, 36, "data");
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view.setUint32(40, dataLength, true);
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// Write audio data
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const offset = 44;
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for (let i = 0; i < resultBuffer.length; i++) {
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const sample = Math.max(-1, Math.min(1, resultBuffer[i]));
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view.setInt16(
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offset + i * 2,
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sample < 0 ? sample * 0x8000 : sample * 0x7fff,
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true,
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);
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}
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return new Blob([arrayBuffer], { type: "audio/wav" });
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}
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function writeString(view, offset, string) {
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for (let i = 0; i < string.length; i++) {
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view.setUint8(offset + i, string.charCodeAt(i));
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}
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}
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function interleave(left, right) {
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const length = left.length + right.length;
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const result = new Float32Array(length);
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let inputIndex = 0;
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for (let i = 0; i < length; i += 2) {
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result[i] = left[inputIndex];
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result[i + 1] = right[inputIndex];
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inputIndex++;
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}
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return result;
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}
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function startPolling(jobId) {
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const pollInterval = setInterval(async () => {
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try {
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const data = await (await fetch(`/status/${jobId}`)).json();
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progressFill.style.width = data.progress + "%";
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if (data.status === "processing") {
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progressText.textContent = data.current_chunk
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? `Đang phiên âm đoạn ${data.current_chunk}...`
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: `Đang xử lý: ${data.progress}%`;
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} else if (data.status === "completed") {
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clearInterval(pollInterval);
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progressText.textContent = "Hoàn tất!";
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showResult(jobId);
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} else if (data.status === "error") {
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clearInterval(pollInterval);
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progressText.textContent = "Lỗi: " + data.error;
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uploadBtn.disabled = false;
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}
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} catch (e) {
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console.error("Lỗi kiểm tra:", e);
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}
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}, 2000);
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}
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async function showResult(jobId) {
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try {
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const html = await (await fetch(`/view/${jobId}`)).text();
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const doc = new DOMParser().parseFromString(html, "text/html");
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const content =
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doc.querySelector(".transcript-content")?.textContent ||
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"Đã tải bản phiên âm";
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transcriptPreview.innerHTML = `<pre style="white-space:pre-wrap;word-wrap:break-word;margin:0;font-family:inherit">${content.substring(0, 300)}...</pre>`;
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resultArea.style.display = "block";
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uploadBtn.disabled = false;
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document.getElementById("viewFullBtn").onclick = () =>
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window.open(`/view/${jobId}`, "_blank");
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document.getElementById("downloadBtn").onclick = () =>
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(window.location.href = `/transcript/${jobId}`);
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} catch (e) {
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console.error("Lỗi hiển thị:", e);
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}
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}
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}
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