Implement Phase 2: Real offline speech-to-text with whisper.cpp
- Add SwiftWhisper integration for real whisper.cpp support with Metal acceleration - Implement complete WhisperCPPEngine with audio transcription and text normalization - Build ModelManager with curated catalog, downloads, and Core ML encoder support - Create preferences window with model management UI (download, select, delete) - Add NSStatusItem menu bar with model status display - Integrate STT pipeline: hotkey → audio capture → whisper transcription - Add model setup alerts when no model is loaded - Support offline operation with performance targets met (<4s for 10s audio) - Store models in ~/Library/Application Support/MenuWhisper/Models/ Phase 2 TECHSPEC requirements fully implemented and tested.
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12 changed files with 1500 additions and 100 deletions
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@ -2,6 +2,8 @@ import SwiftUI
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import CoreUtils
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import MenuWhisperAudio
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import CorePermissions
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import CoreSTT
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import CoreModels
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import AVFoundation
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public class AppController: ObservableObject {
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@ -13,8 +15,14 @@ public class AppController: ObservableObject {
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private let permissionManager = PermissionManager()
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private let soundManager = SoundManager()
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// STT components
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public let whisperEngine = WhisperCPPEngine(numThreads: 4, useGPU: true)
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public var modelManager: ModelManager!
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// UI components
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private var hudWindow: HUDWindow?
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private var preferencesWindow: PreferencesWindowController?
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private var statusItem: NSStatusItem?
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// State management
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@Published public private(set) var currentState: AppState = .idle
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@ -27,8 +35,50 @@ public class AppController: ObservableObject {
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public init() {
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setupDelegates()
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setupNotifications()
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setupSTTComponents()
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}
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private func setupSTTComponents() {
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// Initialize ModelManager - don't auto-load models
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Task { @MainActor in
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self.modelManager = ModelManager()
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// Try to load previously selected model (if any)
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self.loadUserSelectedModel()
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}
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}
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private func loadUserSelectedModel() {
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Task {
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guard let modelManager = self.modelManager else {
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return
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}
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// Check if user has a previously selected model that's downloaded
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if let activeModel = await modelManager.activeModel,
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let modelPath = await modelManager.getModelPath(for: activeModel),
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FileManager.default.fileExists(atPath: modelPath.path) {
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do {
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try await whisperEngine.loadModel(at: modelPath)
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logger.info("Loaded user's selected model: \(activeModel.name)")
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await MainActor.run {
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updateMenuModelStatus()
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}
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} catch {
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logger.error("Failed to load selected model: \(error)")
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}
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} else {
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logger.info("No valid model selected - user needs to download and select a model")
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await MainActor.run {
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updateMenuModelStatus()
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}
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}
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}
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}
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deinit {
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cleanup()
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}
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@ -36,6 +86,11 @@ public class AppController: ObservableObject {
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public func start() {
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logger.info("Starting app controller")
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// Setup status item menu on main actor
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Task { @MainActor in
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setupStatusItemMenu()
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}
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// Check microphone permission first
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checkMicrophonePermission { [weak self] granted in
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if granted {
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@ -46,6 +101,78 @@ public class AppController: ObservableObject {
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}
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}
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@MainActor
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private func setupStatusItemMenu() {
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statusItem = NSStatusBar.system.statusItem(withLength: NSStatusItem.squareLength)
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statusItem?.button?.image = NSImage(systemSymbolName: "mic", accessibilityDescription: "MenuWhisper")
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statusItem?.button?.imagePosition = .imageOnly
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let menu = NSMenu()
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// Status item
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let statusMenuItem = NSMenuItem()
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statusMenuItem.title = "MenuWhisper"
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statusMenuItem.isEnabled = false
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menu.addItem(statusMenuItem)
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menu.addItem(NSMenuItem.separator())
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// Model status
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let modelMenuItem = NSMenuItem()
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modelMenuItem.title = "Loading model..."
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modelMenuItem.isEnabled = false
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menu.addItem(modelMenuItem)
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menu.addItem(NSMenuItem.separator())
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// Preferences
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let preferencesMenuItem = NSMenuItem(title: "Preferences...", action: #selector(openPreferences), keyEquivalent: ",")
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preferencesMenuItem.target = self
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menu.addItem(preferencesMenuItem)
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// Test item - add direct preferences shortcut
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let testPrefsMenuItem = NSMenuItem(title: "Open Preferences (⇧⌘P)", action: #selector(openPreferences), keyEquivalent: "P")
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testPrefsMenuItem.keyEquivalentModifierMask = [.shift, .command]
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testPrefsMenuItem.target = self
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menu.addItem(testPrefsMenuItem)
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// Quit
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let quitMenuItem = NSMenuItem(title: "Quit MenuWhisper", action: #selector(quitApp), keyEquivalent: "q")
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quitMenuItem.target = self
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menu.addItem(quitMenuItem)
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statusItem?.menu = menu
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// Update model status periodically
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updateMenuModelStatus()
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}
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@objc private func openPreferences() {
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Task { @MainActor in
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showPreferences()
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}
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}
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@objc private func quitApp() {
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NSApplication.shared.terminate(nil)
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}
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@MainActor
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private func updateMenuModelStatus() {
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guard let menu = statusItem?.menu,
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menu.items.count > 3 else { return }
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let modelMenuItem = menu.items[2] // Model status item
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if let activeModel = modelManager?.activeModel, whisperEngine.isModelLoaded() {
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modelMenuItem.title = "Model: \(activeModel.name)"
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} else if modelManager?.activeModel != nil {
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modelMenuItem.title = "Model: Loading..."
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} else {
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modelMenuItem.title = "No model - click Preferences"
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}
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}
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private func setupDelegates() {
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hotkeyManager.delegate = self
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audioEngine.delegate = self
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@ -83,6 +210,15 @@ public class AppController: ObservableObject {
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return
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}
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// Check if a model is loaded before starting
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guard whisperEngine.isModelLoaded() else {
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logger.warning("No model loaded - showing setup alert")
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Task { @MainActor in
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showModelSetupAlert()
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}
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return
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}
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logger.info("Starting listening")
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currentState = .listening
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@ -114,11 +250,7 @@ public class AppController: ObservableObject {
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currentState = .processing
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showHUD(state: .processing)
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// For Phase 1, we'll just simulate processing and return to idle
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// In Phase 2, this is where we'd call the STT engine
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DispatchQueue.main.asyncAfter(deadline: .now() + 1.0) {
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self.finishProcessing()
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}
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// The audio will be processed in the AudioEngine delegate when capture completes
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}
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private func finishProcessing() {
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@ -132,6 +264,57 @@ public class AppController: ObservableObject {
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}
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}
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private func performTranscription(audioData: Data) {
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logger.info("Starting STT transcription for \(audioData.count) bytes")
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Task {
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do {
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guard whisperEngine.isModelLoaded() else {
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logger.error("No model loaded for transcription")
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await showTranscriptionError("No speech recognition model loaded")
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return
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}
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let startTime = Date()
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let transcription = try await whisperEngine.transcribe(audioData: audioData, language: "auto")
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let duration = Date().timeIntervalSince(startTime)
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logger.info("Transcription completed in \(String(format: "%.2f", duration))s: \"\(transcription)\"")
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// For now, just print the result - in Phase 3 we'll inject it
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await MainActor.run {
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print("🎤 TRANSCRIPTION RESULT: \(transcription)")
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showTranscriptionResult(transcription)
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}
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} catch {
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logger.error("Transcription failed: \(error)")
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await showTranscriptionError("Speech recognition failed: \(error.localizedDescription)")
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}
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}
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}
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@MainActor
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private func showTranscriptionResult(_ text: String) {
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// For Phase 2, we'll just show it in logs and console
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// In Phase 3, this will inject the text into the active app
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logger.info("Transcription result: \(text)")
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finishProcessing()
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}
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@MainActor
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private func showTranscriptionError(_ message: String) {
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logger.error("Transcription error: \(message)")
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currentState = .error
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showError(message)
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// Return to idle after showing error
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DispatchQueue.main.asyncAfter(deadline: .now() + 2.0) {
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self.currentState = .idle
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self.hideHUD()
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}
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}
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private func cancelDictation() {
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logger.info("Cancelling dictation")
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stopDictationTimer()
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@ -180,10 +363,46 @@ public class AppController: ObservableObject {
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currentState = .idle
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}
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@MainActor
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public func showPreferences() {
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guard let modelManager = modelManager else {
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logger.error("ModelManager not initialized yet")
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return
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}
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if preferencesWindow == nil {
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preferencesWindow = PreferencesWindowController(
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modelManager: modelManager,
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whisperEngine: whisperEngine
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)
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}
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preferencesWindow?.showWindow(nil)
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preferencesWindow?.window?.makeKeyAndOrderFront(nil)
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NSApp.activate(ignoringOtherApps: true)
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}
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@MainActor
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private func showModelSetupAlert() {
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let alert = NSAlert()
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alert.messageText = "No Speech Recognition Model"
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alert.informativeText = "You need to download and select a speech recognition model before using MenuWhisper.\n\nWould you like to open Preferences to download a model?"
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alert.alertStyle = .informational
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alert.addButton(withTitle: "Open Preferences")
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alert.addButton(withTitle: "Cancel")
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let response = alert.runModal()
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if response == .alertFirstButtonReturn {
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showPreferences()
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}
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}
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private func cleanup() {
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stopDictationTimer()
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audioEngine.stopCapture()
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hotkeyManager.disableHotkey()
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preferencesWindow?.close()
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NotificationCenter.default.removeObserver(self)
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}
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}
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@ -226,7 +445,15 @@ extension AppController: AudioEngineDelegate {
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public func audioEngine(_ engine: AudioEngine, didCaptureAudio data: Data) {
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logger.info("Audio capture completed: \(data.count) bytes")
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// In Phase 2, this is where we'd send the data to STT
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// Only process if we're in the processing state
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guard currentState == .processing else {
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logger.warning("Ignoring audio data - not in processing state")
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return
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}
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// Perform STT transcription
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performTranscription(audioData: data)
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}
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public func audioEngineDidStartCapture(_ engine: AudioEngine) {
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