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feat(silero): add Silero-vad backend (#4204)
* feat(vad): add silero-vad backend (WIP) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vad): add API endpoint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vad): correctly place the onnxruntime libs Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(vad): hook silero-vad to binary and container builds Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gRPC): register VAD Server Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(Makefile): consume ONNX_OS consistently Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(Makefile): handle macOS Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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15 changed files with 255 additions and 1 deletions
68
core/http/endpoints/localai/vad.go
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68
core/http/endpoints/localai/vad.go
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@ -0,0 +1,68 @@
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package localai
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import (
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"github.com/gofiber/fiber/v2"
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"github.com/mudler/LocalAI/core/backend"
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"github.com/mudler/LocalAI/core/config"
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fiberContext "github.com/mudler/LocalAI/core/http/ctx"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/LocalAI/pkg/grpc/proto"
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"github.com/mudler/LocalAI/pkg/model"
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"github.com/rs/zerolog/log"
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)
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// VADEndpoint is Voice-Activation-Detection endpoint
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// @Summary Detect voice fragments in an audio stream
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// @Accept json
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// @Param request body schema.VADRequest true "query params"
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// @Success 200 {object} proto.VADResponse "Response"
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// @Router /vad [post]
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func VADEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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input := new(schema.VADRequest)
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// Get input data from the request body
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if err := c.BodyParser(input); err != nil {
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return err
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}
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modelFile, err := fiberContext.ModelFromContext(c, cl, ml, input.Model, false)
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if err != nil {
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modelFile = input.Model
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log.Warn().Msgf("Model not found in context: %s", input.Model)
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}
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cfg, err := cl.LoadBackendConfigFileByName(modelFile, appConfig.ModelPath,
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config.LoadOptionDebug(appConfig.Debug),
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config.LoadOptionThreads(appConfig.Threads),
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config.LoadOptionContextSize(appConfig.ContextSize),
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config.LoadOptionF16(appConfig.F16),
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)
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if err != nil {
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log.Err(err)
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modelFile = input.Model
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log.Warn().Msgf("Model not found in context: %s", input.Model)
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} else {
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modelFile = cfg.Model
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}
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log.Debug().Msgf("Request for model: %s", modelFile)
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opts := backend.ModelOptions(*cfg, appConfig, model.WithBackendString(cfg.Backend), model.WithModel(modelFile))
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vadModel, err := ml.Load(opts...)
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if err != nil {
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return err
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}
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req := proto.VADRequest{
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Audio: input.Audio,
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}
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resp, err := vadModel.VAD(c.Context(), &req)
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if err != nil {
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return err
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}
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return c.JSON(resp)
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}
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}
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@ -34,6 +34,7 @@ func RegisterLocalAIRoutes(app *fiber.App,
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}
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app.Post("/tts", localai.TTSEndpoint(cl, ml, appConfig))
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app.Post("/vad", localai.VADEndpoint(cl, ml, appConfig))
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// Stores
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sl := model.NewModelLoader("")
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@ -30,10 +30,16 @@ type TTSRequest struct {
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Input string `json:"input" yaml:"input"` // text input
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Voice string `json:"voice" yaml:"voice"` // voice audio file or speaker id
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Backend string `json:"backend" yaml:"backend"`
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Language string `json:"language,omitempty" yaml:"language,omitempty"` // (optional) language to use with TTS model
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Language string `json:"language,omitempty" yaml:"language,omitempty"` // (optional) language to use with TTS model
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Format string `json:"response_format,omitempty" yaml:"response_format,omitempty"` // (optional) output format
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}
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// @Description VAD request body
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type VADRequest struct {
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Model string `json:"model" yaml:"model"` // model name or full path
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Audio []float32 `json:"audio" yaml:"audio"` // model name or full path
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}
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type StoresSet struct {
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Store string `json:"store,omitempty" yaml:"store,omitempty"`
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