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af9e5a2d05
* Revert "fix(fncall): fix regression introduced in #1963 (#2048)" This reverts commit6b06d4e0af. * Revert "fix: action-tmate back to upstream, dead code removal (#2038)" This reverts commitfdec8a9d00. * Revert "feat(grpc): return consumed token count and update response accordingly (#2035)" This reverts commite843d7df0e. * Revert "refactor: backend/service split, channel-based llm flow (#1963)" This reverts commiteed5706994. * feat(grpc): return consumed token count and update response accordingly Fixes: #1920 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
39 lines
1.0 KiB
Go
39 lines
1.0 KiB
Go
package backend
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import (
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"context"
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"fmt"
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"github.com/go-skynet/LocalAI/core/config"
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"github.com/go-skynet/LocalAI/core/schema"
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"github.com/go-skynet/LocalAI/pkg/grpc/proto"
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model "github.com/go-skynet/LocalAI/pkg/model"
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)
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func ModelTranscription(audio, language string, ml *model.ModelLoader, backendConfig config.BackendConfig, appConfig *config.ApplicationConfig) (*schema.Result, error) {
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opts := modelOpts(backendConfig, appConfig, []model.Option{
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model.WithBackendString(model.WhisperBackend),
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model.WithModel(backendConfig.Model),
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model.WithContext(appConfig.Context),
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model.WithThreads(uint32(*backendConfig.Threads)),
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model.WithAssetDir(appConfig.AssetsDestination),
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})
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whisperModel, err := ml.BackendLoader(opts...)
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if err != nil {
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return nil, err
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}
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if whisperModel == nil {
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return nil, fmt.Errorf("could not load whisper model")
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}
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return whisperModel.AudioTranscription(context.Background(), &proto.TranscriptRequest{
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Dst: audio,
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Language: language,
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Threads: uint32(*backendConfig.Threads),
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})
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}
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