mirror of https://github.com/mudler/LocalAI.git
55 lines
1.7 KiB
Go
55 lines
1.7 KiB
Go
package cli
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import (
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"context"
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"errors"
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"fmt"
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"github.com/go-skynet/LocalAI/core/backend"
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"github.com/go-skynet/LocalAI/core/config"
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"github.com/go-skynet/LocalAI/pkg/model"
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)
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type TranscriptCMD struct {
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Filename string `arg:""`
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Backend string `short:"b" default:"whisper" help:"Backend to run the transcription model"`
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Model string `short:"m" required:"" help:"Model name to run the TTS"`
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Language string `short:"l" help:"Language of the audio file"`
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Threads int `short:"t" default:"1" help:"Number of threads used for parallel computation"`
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ModelsPath string `env:"LOCALAI_MODELS_PATH,MODELS_PATH" type:"path" default:"${basepath}/models" help:"Path containing models used for inferencing" group:"storage"`
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BackendAssetsPath string `env:"LOCALAI_BACKEND_ASSETS_PATH,BACKEND_ASSETS_PATH" type:"path" default:"/tmp/localai/backend_data" help:"Path used to extract libraries that are required by some of the backends in runtime" group:"storage"`
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}
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func (t *TranscriptCMD) Run(ctx *Context) error {
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opts := &config.ApplicationConfig{
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ModelPath: t.ModelsPath,
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Context: context.Background(),
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AssetsDestination: t.BackendAssetsPath,
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}
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cl := config.NewBackendConfigLoader()
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ml := model.NewModelLoader(opts.ModelPath)
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if err := cl.LoadBackendConfigsFromPath(t.ModelsPath); err != nil {
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return err
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}
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c, exists := cl.GetBackendConfig(t.Model)
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if !exists {
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return errors.New("model not found")
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}
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c.Threads = &t.Threads
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defer ml.StopAllGRPC()
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tr, err := backend.ModelTranscription(t.Filename, t.Language, ml, c, opts)
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if err != nil {
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return err
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}
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for _, segment := range tr.Segments {
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fmt.Println(segment.Start.String(), "-", segment.Text)
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}
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return nil
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}
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