getActiveStt static method

Future<SpeechRecognizer> getActiveStt({ PreferredBackend? preferredBackend, })

Get the active STT model as a ready-to-use SpeechRecognizer

Returns a SpeechRecognizer configured with runtime parameters. The model and tokenizer paths come from the active SttModelSpec.

Runtime parameters:

• preferredBackend: CPU or GPU preference (optional)

Throws:

• StateError if no active STT model is set

Example:

// Install STT model first
await FlutterGemma.installStt()
  .modelFromNetwork('https://example.com/model.tflite')
  .tokenizerFromNetwork('https://example.com/tokenizer.json')
  .ofType(SttModelType.moonshine)
  .install();

// Create with default backend
final recognizer = await FlutterGemma.getActiveStt();

Implementation

static Future<SpeechRecognizer> getActiveStt({
  PreferredBackend? preferredBackend,
}) async {
  final manager = FlutterGemmaPlugin.instance.modelManager;
  final activeSpec = manager.activeSttModel;

  if (activeSpec == null) {
    throw StateError(
      'No active STT model set. Use FlutterGemma.installStt() first.',
    );
  }

  if (activeSpec is! SttModelSpec) {
    throw StateError(
      'Active model is not an SttModelSpec. '
      'Expected SttModelSpec, got ${activeSpec.runtimeType}',
    );
  }

  // Create SpeechRecognizer using active spec (paths resolved automatically)
  return await FlutterGemmaPlugin.instance.createSttModel(
    preferredBackend: preferredBackend,
  );
}