Add Core ML alert for Whisper models to inform users about performance improvements and first-run optimization time
This commit is contained in:
Beingpax
parent
0a5f688338
commit
aabbf03f60
@ -7,11 +7,12 @@
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@ -138,7 +140,7 @@
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@ -152,6 +154,7 @@
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@ -239,6 +242,7 @@
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@ -442,7 +446,7 @@
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CURRENT_PROJECT_VERSION = 121;
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@ -457,7 +461,7 @@
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MARKETING_VERSION = 1.21;
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@ -475,7 +479,7 @@
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"CODE_SIGN_IDENTITY[sdk=macosx*]" = "Apple Development";
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CODE_SIGN_STYLE = Automatic;
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COMBINE_HIDPI_IMAGES = YES;
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CURRENT_PROJECT_VERSION = 120;
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CURRENT_PROJECT_VERSION = 121;
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DEVELOPMENT_ASSET_PATHS = "\"VoiceInk/Preview Content\"";
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DEVELOPMENT_TEAM = V6J6A3VWY2;
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ENABLE_HARDENED_RUNTIME = YES;
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@ -490,7 +494,7 @@
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"@executable_path/../Frameworks",
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MACOSX_DEPLOYMENT_TARGET = 14.0;
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MARKETING_VERSION = 1.20;
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MARKETING_VERSION = 1.21;
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PRODUCT_BUNDLE_IDENTIFIER = com.prakashjoshipax.VoiceInk;
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PRODUCT_NAME = "$(TARGET_NAME)";
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SWIFT_EMIT_LOC_STRINGS = YES;
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minimumVersion = 2.1.2;
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@ -650,6 +662,11 @@
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productName = Sparkle;
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productName = Zip;
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rootObject = E11473A82CBE0F0A00318EE4 /* Project object */;
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@ -116,9 +116,46 @@ extension WhisperState {
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}
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}
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// Shows an alert about Core ML support and first-run optimization
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private func showCoreMLAlert(for model: PredefinedModel, completion: @escaping () -> Void) {
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Task { @MainActor in
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let alert = NSAlert()
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alert.messageText = "Core ML Support for \(model.displayName) Model"
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alert.informativeText = "This Whisper model supports Core ML, which can improve performance by 2-4x on Apple Silicon devices.\n\nDuring the first run, it can take several minutes to optimize the model for your system. Subsequent runs will be much faster."
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alert.alertStyle = .informational
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alert.addButton(withTitle: "Download")
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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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completion()
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}
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}
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}
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func downloadModel(_ model: PredefinedModel) async {
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guard let url = URL(string: model.downloadURL) else { return }
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// Check if model supports Core ML (non-quantized models)
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let supportsCoreML = !model.name.contains("q5") && !model.name.contains("q8")
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if supportsCoreML {
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// Show the CoreML alert for models that support it
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await MainActor.run {
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showCoreMLAlert(for: model) {
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// This completion handler is called when user clicks "Download"
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Task {
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await self.performModelDownload(model, url)
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}
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}
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}
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} else {
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// Directly download the model if it doesn't support Core ML
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await performModelDownload(model, url)
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}
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}
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private func performModelDownload(_ model: PredefinedModel, _ url: URL) async {
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do {
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let whisperModel = try await downloadMainModel(model, from: url)
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