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package backend
import (
"context"
"fmt"
"github.com/mudler/LocalAI/core/config"
"github.com/mudler/LocalAI/core/schema"
"github.com/mudler/LocalAI/pkg/grpc/proto"
model "github.com/mudler/LocalAI/pkg/model"
)
func ModelTranscription(audio, language string, translate bool, ml *model.ModelLoader, backendConfig config.BackendConfig, appConfig *config.ApplicationConfig) (*schema.TranscriptionResult, error) {
opts := modelOpts(backendConfig, appConfig, []model.Option{
model.WithBackendString(model.WhisperBackend),
model.WithModel(backendConfig.Model),
model.WithContext(appConfig.Context),
model.WithThreads(uint32(*backendConfig.Threads)),
model.WithAssetDir(appConfig.AssetsDestination),
})
whisperModel, err := ml.BackendLoader(opts...)
if err != nil {
return nil, err
}
if whisperModel == nil {
return nil, fmt.Errorf("could not load whisper model")
}
return whisperModel.AudioTranscription(context.Background(), &proto.TranscriptRequest{
Dst: audio,
Language: language,
Translate: translate,
Threads: uint32(*backendConfig.Threads),
})
}
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