voice: recommend Canary for the final words, at a third of Parakeet large's size

gearslip/src/main/java/app/seb3thehacker/gearslip/speech/SpeechEngine.kt

@@ -67,7 +67,7 @@ object SpeechEngine {
 
     private val worker = Executors.newSingleThreadExecutor { Thread(it, "gearslip-speech") }
     /**
-     * Parakeet large takes seconds to load. On [worker], the first press after connecting
+     * The final model takes seconds to load. On [worker], the first press after connecting
      * waited behind it before listening at all; here it loads while the driver talks.
      */
     private val finalWorker = Executors.newSingleThreadExecutor { Thread(it, "gearslip-speech-final") }
@@ -80,7 +80,7 @@ object SpeechEngine {
     @Volatile private var loadedFinal: SpeechModels.Model? = null
 
     /**
-     * Parakeet large holds most of the ~900 MB the two models take, so it goes after a few
+     * The final model holds most of the memory the two models take, so it goes after a few
      * minutes without a command. Kroko stays: it's small, and keeps listening instant.
      */
     private val idleUnload = Runnable { unloadFinal("after ${IDLE_UNLOAD_MS / 60_000} minutes without use") }

gearslip/src/main/java/app/seb3thehacker/gearslip/speech/SpeechModels.kt

@@ -51,12 +51,12 @@ object SpeechModels {
             plainFiles = false,
         ),
         CANARY(
-            Role.FINAL, "canary-180m-en", "Canary", "In between: better than Parakeet small, quicker than large. NVIDIA NeMo, CC BY 4.0", 198,
+            Role.FINAL, "canary-180m-en", "Canary", "Recommended. Quick, and hears names and places well. NVIDIA NeMo, CC BY 4.0", 198,
             "sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8",
             "encoder.int8.onnx", "decoder.int8.onnx", "", modelType = "canary",
         ),
         PARAKEET_LARGE(
-            Role.FINAL, "parakeet-0.6b-en", "Parakeet large", "Recommended. Hears names and places best. NVIDIA NeMo, CC BY 4.0", 631,
+            Role.FINAL, "parakeet-0.6b-en", "Parakeet large", "Hears names best, but slower and three times the size. NVIDIA NeMo, CC BY 4.0", 631,
             "sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8",
             "encoder.int8.onnx", "decoder.int8.onnx", "joiner.int8.onnx", modelType = "nemo_transducer",
         ),
@@ -82,7 +82,7 @@ object SpeechModels {
     private val states = Model.entries.associateWith { MutableStateFlow<State>(State.Missing) }
     private val _selected = MutableStateFlow(Model.KROKO)
     val selected: StateFlow<Model> = _selected.asStateFlow()
-    private val _final = MutableStateFlow<Model?>(Model.PARAKEET_LARGE)
+    private val _final = MutableStateFlow<Model?>(Model.CANARY)
 
     /** The model that rereads the whole phrase at the end; null to keep the live model's words. */
     val final: StateFlow<Model?> = _final.asStateFlow()
@@ -91,7 +91,9 @@ object SpeechModels {
     fun init(context: Context) {
         val id = context.getSharedPreferences(PREFS, Context.MODE_PRIVATE).getString(KEY_MODEL, null)
         _selected.value = Model.entries.firstOrNull { it.id == id && it.role == Role.LIVE } ?: Model.KROKO
-        val finalId = context.getSharedPreferences(PREFS, Context.MODE_PRIVATE).getString(KEY_FINAL, Model.PARAKEET_LARGE.id)
+        // Canary is the default. A driver who never chose but already has Parakeet large keeps it.
+        val finalId = context.getSharedPreferences(PREFS, Context.MODE_PRIVATE).getString(KEY_FINAL, null)
+            ?: if (isReady(context, Model.PARAKEET_LARGE) && !isReady(context, Model.CANARY)) Model.PARAKEET_LARGE.id else Model.CANARY.id
         _final.value = Model.entries.firstOrNull { it.id == finalId && it.role == Role.FINAL }
         Model.entries.forEach { m -> if (isReady(context, m)) states.getValue(m).value = State.Ready }
         // Models an older build offered and this one doesn't: hundreds of MB nobody can use.

gearslip/src/main/java/app/seb3thehacker/gearslip/ui/IntroScreen.kt

@@ -402,7 +402,7 @@ private fun BadgeStep(
 private fun VoiceStep(c: IntroColors, cq: (Float) -> Dp, cqSp: (Float) -> TextUnit, key: IntroStep) {
     val context = LocalContext.current
     remember { SpeechModels.init(context) }
-    val needed = listOf(SpeechModels.Model.KROKO, SpeechModels.Model.PARAKEET_LARGE)
+    val needed = listOf(SpeechModels.Model.KROKO, SpeechModels.Model.CANARY)
     val states = needed.map { SpeechModels.state(it).collectAsState().value }
     val ready = states.all { it == SpeechModels.State.Ready }
     val label = when {

gearslip/src/main/java/app/seb3thehacker/gearslip/ui/VoiceModelViews.kt

@@ -38,7 +38,7 @@ internal fun VoiceModelSection() {
     SettingsSection(title = "Voice: live words") {
         Text(
             "The voice assistant turns speech into text on this phone, and nothing you say leaves it. " +
-                "It needs two models, about 700 MB together, downloaded once. Use Wi-Fi if you can. " +
+                "It needs two models, about 270 MB together, downloaded once. " +
                 "This one writes your words as you speak.",
             style = MaterialTheme.typography.bodyMedium,
             color = MaterialTheme.colorScheme.onSurfaceVariant,