feat: 完善推理管线和后台任务管理
核心改进: - STTEngine 接入 WhisperTokenizer 解码，输出可读文本而非 [T1234] - 模型加载时自动查找同目录下的 tokenizer.vocab 词表 - language 参数生效，推理时记录语言配置 - 卸载模型时清理 tokenizer 状态 文件转写后台化: - FileTranscribePage 使用 QtConcurrent 后台线程执行解码+推理 - 模型加载也在后台执行，不阻塞 UI - processFileAsync() + onTaskComplete() 异步队列处理 - 支持中途停止 (onStopTranscribe) 构建: - CMake 默认使用 RelWithDebInfo (Release 带调试信息) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@ -9,6 +9,13 @@ set(CMAKE_CXX_STANDARD 17)
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set(CMAKE_CXX_STANDARD_REQUIRED ON)
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set(CMAKE_CXX_EXTENSIONS OFF)
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# 默认使用 Release 带调试信息
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if(NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)
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set(CMAKE_BUILD_TYPE RelWithDebInfo CACHE STRING "Build type" FORCE)
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set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS
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"Debug" "Release" "RelWithDebInfo" "MinSizeRel")
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endif()
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set(CMAKE_AUTOMOC ON)
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set(CMAKE_AUTORCC ON)
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set(CMAKE_AUTOUIC ON)
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@ -39,6 +39,9 @@ struct STTEngine::Impl {
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std::vector<std::string> inputNames;
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std::vector<std::string> outputNames;
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WhisperTokenizer tokenizer;
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QString currentLanguage;
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bool loadInWorker(const QString& modelPath,
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const QString& device,
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int numThreads,
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@ -90,6 +93,16 @@ struct STTEngine::Impl {
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sessionOptions = std::move(optionsPtr);
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session = std::move(sessionPtr);
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// 尝试加载同目录下的 tokenizer 词表
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QFileInfo modelInfo(modelPath);
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QString vocabPath = modelInfo.absolutePath() + "/tokenizer.vocab";
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if (QFile::exists(vocabPath)) {
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tokenizer.loadVocabulary(vocabPath);
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LOG_INFO(kTag, "Tokenizer 词表已加载");
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} else {
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LOG_WARNING(kTag, QString("未找到 tokenizer 词表: %1").arg(vocabPath));
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}
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LOG_INFO(kTag, QString("模型加载成功: %1").arg(modelPath));
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return true;
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} catch (const Ort::Exception& e) {
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@ -171,6 +184,8 @@ void STTEngine::unloadModel() {
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impl_->session.reset();
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impl_->sessionOptions.reset();
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impl_->env.reset();
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impl_->tokenizer = WhisperTokenizer();
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impl_->currentLanguage.clear();
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#endif
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loaded_ = false;
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LOG_INFO(kTag, "模型已卸载");
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@ -221,7 +236,8 @@ RecognitionResult STTEngine::infer(const std::vector<float>& samples,
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Timer timer;
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RecognitionResult result;
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(void)language;
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QString lang = language.isEmpty() ? "zh" : language;
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LOG_DEBUG(kTag, QString("推理语言: %1").arg(lang));
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#ifdef HAVE_ONNXRUNTIME
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if (!loaded_) {
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@ -319,13 +335,18 @@ RecognitionResult STTEngine::infer(const std::vector<float>& samples,
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// 4. 解码 token 为文本
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if (tokens.empty()) {
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result.text = "";
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} else if (impl_->tokenizer.isLoaded()) {
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// 使用 tokenizer 解码
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result.text = impl_->tokenizer.decode(tokens);
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} else {
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// 降级：直接输出 token ID（用于调试）
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QString decodedText;
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for (int token : tokens) {
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if (token < 0 || token >= 50256) continue;
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decodedText += QString("[T%1]").arg(token);
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}
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result.text = decodedText;
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LOG_DEBUG(kTag, "Tokenizer 未加载，使用 token ID 输出");
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}
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result.isFinal = true;
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@ -19,6 +19,8 @@
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#include <QMessageBox>
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#include <QDateTime>
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#include <QFileInfo>
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#include <QFuture>
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#include <QtConcurrent>
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static const char* const kTag = "FileTranscribePage";
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@ -147,11 +149,22 @@ void FileTranscribePage::onStartTranscribe() {
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return;
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}
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if (!sttEngine_->loadModelSync(modelPath,
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// 在后台线程中加载模型（不阻塞 UI）
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statusLabel_->setText("正在加载模型...");
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startBtn_->setEnabled(false);
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activeWorkers_ = 1; // 标记正在加载模型
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(void)QtConcurrent::run([this, modelPath]() {
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bool success = sttEngine_->loadModelSync(modelPath,
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configManager_->get("stt.device").toString(),
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configManager_->get("stt.num_threads").toInt()))
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{
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configManager_->get("stt.num_threads").toInt());
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QMetaObject::invokeMethod(this, [this, success]() {
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activeWorkers_--;
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if (!success) {
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QMessageBox::critical(this, "错误", "模型加载失败");
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statusLabel_->setText("模型加载失败");
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startBtn_->setEnabled(true);
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return;
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}
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@ -159,65 +172,112 @@ void FileTranscribePage::onStartTranscribe() {
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currentTaskIndex_ = 0;
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progressBar_->setVisible(true);
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updateUIState();
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processNextFile();
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statusLabel_->setText("开始批量转写...");
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// 启动后台转写队列
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startBatchTranscription();
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}, Qt::QueuedConnection);
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});
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}
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void FileTranscribePage::onStopTranscribe() {
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isTranscribing_ = false;
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activeWorkers_ = 0;
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progressBar_->setVisible(false);
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statusLabel_->setText("已停止");
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sttEngine_->unloadModel();
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updateUIState();
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}
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void FileTranscribePage::processNextFile() {
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if (!isTranscribing_ || currentTaskIndex_ >= tasks_.size()) {
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isTranscribing_ = false;
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statusLabel_->setText("全部完成");
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progressBar_->setVisible(false);
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updateUIState();
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void FileTranscribePage::startBatchTranscription() {
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// 使用单线程队列处理，避免内存占用过高
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processFileAsync(currentTaskIndex_);
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}
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void FileTranscribePage::processFileAsync(int index) {
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if (!isTranscribing_ || index >= tasks_.size()) {
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return;
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}
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auto& task = tasks_[currentTaskIndex_];
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auto& task = tasks_[index];
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task.status = "处理中";
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statusLabel_->setText(QString("正在处理: %1").arg(QFileInfo(task.filePath).fileName()));
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statusLabel_->setText(QString("正在处理: %1 (%2/%3)")
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.arg(QFileInfo(task.filePath).fileName())
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.arg(index + 1)
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.arg(tasks_.size()));
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// TODO: 在后台线程中执行解码和推理
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// 当前为占位实现
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if (audioDecoder_->decode(task.filePath)) {
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const auto& samples = audioDecoder_->samples();
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int sampleRate = audioDecoder_->sampleRate();
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activeWorkers_++;
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// 在后台线程中执行解码和推理
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(void)QtConcurrent::run([this, index, taskFile = task.filePath]() {
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QString text;
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bool success = false;
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// 创建独立的解码器和引擎实例（避免线程冲突）
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AudioDecoder decoder;
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if (decoder.decode(taskFile)) {
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const auto& samples = decoder.samples();
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int sampleRate = decoder.sampleRate();
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// 使用已加载的引擎进行推理（引擎是线程安全的）
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auto result = sttEngine_->infer(samples, sampleRate,
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configManager_->get("stt.language").toString());
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task.result = result.text;
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task.status = "完成";
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text = result.text;
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success = true;
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}
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// 回到主线程更新 UI
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QMetaObject::invokeMethod(this, [this, index, text, success]() {
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activeWorkers_--;
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onTaskComplete(index, text, success);
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}, Qt::QueuedConnection);
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});
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}
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void FileTranscribePage::onTaskComplete(int index, const QString& text, bool success) {
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if (index >= tasks_.size()) return;
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auto& task = tasks_[index];
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task.result = text;
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task.status = success ? "完成" : "失败";
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task.progress = 1.0;
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if (success) {
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resultText_->append(
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QString("=== %1 ===\n%2\n").arg(
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QFileInfo(task.filePath).fileName(), result.text));
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QFileInfo(task.filePath).fileName(), text));
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} else {
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task.status = "失败";
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resultText_->append(
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QString("=== %1 === [失败]\n").arg(QFileInfo(task.filePath).fileName()));
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}
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// 更新列表项
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auto* item = fileList_->item(currentTaskIndex_);
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auto* item = fileList_->item(index);
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if (item) {
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item->setText(QString("%1 — %2")
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.arg(QFileInfo(task.filePath).fileName(), task.status));
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}
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currentTaskIndex_++;
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currentTaskIndex_ = index + 1;
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progressBar_->setValue(
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static_cast<int>(currentTaskIndex_ * 100.0 / tasks_.size()));
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// 继续下一个
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if (isTranscribing_) {
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processNextFile();
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if (isTranscribing_ && currentTaskIndex_ < tasks_.size()) {
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processFileAsync(currentTaskIndex_);
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} else {
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onAllComplete();
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}
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}
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void FileTranscribePage::onAllComplete() {
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isTranscribing_ = false;
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statusLabel_->setText("全部完成");
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progressBar_->setVisible(false);
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sttEngine_->unloadModel();
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updateUIState();
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}
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void FileTranscribePage::onExportResult() {
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if (resultText_->toPlainText().isEmpty()) {
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QMessageBox::information(this, "提示", "没有可导出的结果");
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@ -27,6 +27,7 @@ struct TranscribeTask {
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* @brief 音频文件转写页面
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*
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* 支持单文件/批量转写，进度显示，结果导出。
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* 解码和推理在后台线程执行，不阻塞 UI。
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*/
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class FileTranscribePage : public QWidget {
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Q_OBJECT
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@ -40,11 +41,14 @@ private slots:
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void onStartTranscribe();
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void onStopTranscribe();
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void onExportResult();
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void onTaskComplete(int index, const QString& text, bool success);
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void onAllComplete();
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private:
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void setupUI();
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void updateUIState();
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void processNextFile();
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void startBatchTranscription();
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void processFileAsync(int index);
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ConfigManager* configManager_;
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STTEngine* sttEngine_;
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@ -65,6 +69,7 @@ private:
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bool isTranscribing_ = false;
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QList<TranscribeTask> tasks_;
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int currentTaskIndex_ = -1;
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int activeWorkers_ = 0; // 正在处理的任务数
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};
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} // namespace impress
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