Rocky
df1c5ff32c
Replace MLX GPU inference with CoreML bundles so transcription continues while the host app is backgrounded. Adds model download and warm-up, vendored Qwen3Speech, and updates onboarding, settings, and copy for the ~1.6 GB CoreML package (iOS 18+).
46 lines
1.5 KiB
Swift
46 lines
1.5 KiB
Swift
// EngineServiceLabel.swift
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// OSGKeyboard · Shared
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//
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// Human-readable summary of the active engine / AI provider for UI hints.
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import Foundation
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public enum EngineServiceLabel {
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public static func summary(
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engineMode: String,
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providerId: String,
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model: String,
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localASRBackend: LocalASRBackend = .speechAnalyzer,
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language: AppUILanguage? = nil
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) -> String {
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let lang = language ?? AppGroupStore().uiLanguage
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if engineMode == "local" {
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let asrName = asrDisplayName(for: localASRBackend, language: lang)
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return SharedL10n.format("engine.summary.local", language: lang, asrName)
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}
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let providerName = ProviderDisplayName.name(for: providerId, language: lang)
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let trimmedModel = model.trimmingCharacters(in: .whitespacesAndNewlines)
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if trimmedModel.isEmpty {
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return SharedL10n.format("engine.summary.cloud", language: lang, providerName)
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}
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return SharedL10n.format(
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"engine.summary.cloudWithModel",
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language: lang,
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providerName,
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trimmedModel
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)
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}
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private static func asrDisplayName(
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for backend: LocalASRBackend,
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language: AppUILanguage
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) -> String {
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switch backend {
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case .speechAnalyzer:
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return SharedL10n.string("engine.asr.appleSpeech", language: language)
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case .qwen3ASR:
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return SharedL10n.string("model.qwen3asr.name", language: language)
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}
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}
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}
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