moonshine.dart
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// Copyright (c) 2024 Xiaomi Corporation
import 'dart:io';
import 'package:args/args.dart';
import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
import './init.dart';
void main(List<String> arguments) async {
await initSherpaOnnx();
final parser = ArgParser()
..addOption('preprocessor',
help: 'Path to the moonshine preprocessor model')
..addOption('encoder', help: 'Path to the moonshine encoder model')
..addOption('uncached-decoder',
help: 'Path to moonshine uncached decoder model')
..addOption('cached-decoder',
help: 'Path to moonshine cached decoder model')
..addOption('tokens', help: 'Path to tokens.txt')
..addOption('input-wav', help: 'Path to input.wav to transcribe');
final res = parser.parse(arguments);
if (res['preprocessor'] == null ||
res['encoder'] == null ||
res['uncached-decoder'] == null ||
res['cached-decoder'] == null ||
res['tokens'] == null ||
res['input-wav'] == null) {
print(parser.usage);
exit(1);
}
final preprocessor = res['preprocessor'] as String;
final encoder = res['encoder'] as String;
final uncachedDecoder = res['uncached-decoder'] as String;
final cachedDecoder = res['cached-decoder'] as String;
final tokens = res['tokens'] as String;
final inputWav = res['input-wav'] as String;
final moonshine = sherpa_onnx.OfflineMoonshineModelConfig(
preprocessor: preprocessor,
encoder: encoder,
uncachedDecoder: uncachedDecoder,
cachedDecoder: cachedDecoder,
);
final modelConfig = sherpa_onnx.OfflineModelConfig(
moonshine: moonshine,
tokens: tokens,
debug: false,
numThreads: 1,
);
final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
final recognizer = sherpa_onnx.OfflineRecognizer(config);
final waveData = sherpa_onnx.readWave(inputWav);
final stream = recognizer.createStream();
stream.acceptWaveform(
samples: waveData.samples, sampleRate: waveData.sampleRate);
recognizer.decode(stream);
final result = recognizer.getResult(stream);
print(result.text);
stream.free();
recognizer.free();
}