//go:build windows
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package engine
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import (
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"fmt"
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"voicesnap/internal/logger"
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"voicesnap/internal/model"
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_ "github.com/k2-fsa/sherpa-onnx-go-windows"
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sherpa "github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx"
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)
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type sherpaEngine struct {
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recognizer *sherpa.OfflineRecognizer
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hwInfo string
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}
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func newPlatformEngine(resolved model.ResolvedModel) (Engine, error) {
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// Try DirectML first, then CPU fallback
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providers := []struct {
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name string
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provider string
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}{
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{"DirectML (GPU)", "directml"},
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{"CPU", "cpu"},
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}
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for _, p := range providers {
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config := sherpa.OfflineRecognizerConfig{}
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config.FeatConfig.SampleRate = 16000
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config.FeatConfig.FeatureDim = 80
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config.ModelConfig.SenseVoice.Model = resolved.Files["model"]
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config.ModelConfig.SenseVoice.UseInverseTextNormalization = 1
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config.ModelConfig.Tokens = resolved.Files["tokens"]
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config.ModelConfig.NumThreads = resolved.Profile.NumThreads
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config.ModelConfig.Provider = p.provider
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config.DecodingMethod = "greedy_search"
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recognizer := sherpa.NewOfflineRecognizer(&config)
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if recognizer != nil {
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info := fmt.Sprintf("SenseVoice ยท %s", p.name)
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logger.Info("Engine initialized: %s", info)
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return &sherpaEngine{
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recognizer: recognizer,
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hwInfo: info,
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}, nil
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}
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logger.Info("Failed to init with %s, trying next provider", p.name)
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}
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return nil, fmt.Errorf("failed to initialize sherpa-onnx with any provider")
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}
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func (e *sherpaEngine) Recognize(samples []float32) (string, error) {
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stream := sherpa.NewOfflineStream(e.recognizer)
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defer sherpa.DeleteOfflineStream(stream)
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stream.AcceptWaveform(16000, samples)
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e.recognizer.Decode(stream)
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result := stream.GetResult()
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return result.Text, nil
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}
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func (e *sherpaEngine) HardwareInfo() string {
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return e.hwInfo
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}
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func (e *sherpaEngine) Close() {
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if e.recognizer != nil {
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sherpa.DeleteOfflineRecognizer(e.recognizer)
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e.recognizer = nil
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}
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}
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