fegger
50d00286d7
- new Transcriber interface makes the recorder service engine-agnostic; WhisperEngine (local JNI) and new RemoteWhisperEngine (POST /inference, verbose_json, in-memory WAV upload via new WavEncoder) implement it - SessionConfig carries serverUrl; when set, BOTH the live pass and the final pass transcribe remotely (server owns the model, e.g. large-v3 on GPU); local engine remains the offline fallback - UI: Transcribe on: phone/server dropdown + server URL field, persisted in SharedPreferences; model controls grey out in server mode; manual Transcribe also routes to the server - network security config permits cleartext HTTP for user-configured LAN/tailnet servers (documented; HTTPS works either way) - WavEncoder round-trip unit test (11 total green); validated phone -> Tailscale -> R9700 with large-v3 before the app-side change
36 lines
822 B
Kotlin
36 lines
822 B
Kotlin
plugins {
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alias(libs.plugins.android.library)
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}
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android {
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namespace = "com.meetrec.core.whisper"
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compileSdk = 36
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defaultConfig {
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minSdk = 29
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ndk {
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// Fairphone 6 (and virtually all current phones) are arm64.
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abiFilters += "arm64-v8a"
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}
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}
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compileOptions {
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sourceCompatibility = JavaVersion.VERSION_17
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targetCompatibility = JavaVersion.VERSION_17
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}
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externalNativeBuild {
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cmake {
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path = file("src/main/cpp/CMakeLists.txt")
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version = "3.22.1"
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}
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}
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ndkVersion = "27.1.12297006"
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}
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dependencies {
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implementation(project(":core:recording")) // WavEncoder/Audio for uploads
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// TranscriptFiles is pure Kotlin and unit tested on the JVM.
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testImplementation(libs.junit)
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} |