🤖 Self-hosted, community-driven, local OpenAI-compatible API with Keycloak Auth Flak app as frontend. 🏠
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FlaskAI/api/backend/transcript.go

42 lines
1.1 KiB

package backend
import (
"context"
"fmt"
config "github.com/go-skynet/LocalAI/api/config"
"github.com/go-skynet/LocalAI/api/options"
"github.com/go-skynet/LocalAI/pkg/grpc/proto"
"github.com/go-skynet/LocalAI/pkg/grpc/whisper/api"
model "github.com/go-skynet/LocalAI/pkg/model"
)
func ModelTranscription(audio, language string, loader *model.ModelLoader, c config.Config, o *options.Option) (*api.Result, error) {
opts := []model.Option{
model.WithBackendString(model.WhisperBackend),
model.WithModelFile(c.Model),
model.WithContext(o.Context),
model.WithThreads(uint32(c.Threads)),
model.WithAssetDir(o.AssetsDestination),
}
for k, v := range o.ExternalGRPCBackends {
opts = append(opts, model.WithExternalBackend(k, v))
}
whisperModel, err := o.Loader.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,
Threads: uint32(c.Threads),
})
}