LocalAI/core/http/endpoints/localai/tts.go

49 lines
1.3 KiB
Go

package localai
import (
"github.com/go-skynet/LocalAI/core/backend"
"github.com/go-skynet/LocalAI/core/config"
fiberContext "github.com/go-skynet/LocalAI/core/http/ctx"
"github.com/go-skynet/LocalAI/pkg/model"
"github.com/go-skynet/LocalAI/core/schema"
"github.com/gofiber/fiber/v2"
"github.com/rs/zerolog/log"
)
func TTSEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) func(c *fiber.Ctx) error {
return func(c *fiber.Ctx) error {
input := new(schema.TTSRequest)
// Get input data from the request body
if err := c.BodyParser(input); err != nil {
return err
}
modelFile, err := fiberContext.ModelFromContext(c, ml, input.Model, false)
if err != nil {
modelFile = input.Model
log.Warn().Msgf("Model not found in context: %s", input.Model)
}
cfg, err := config.LoadBackendConfigFileByName(modelFile, appConfig.ModelPath, cl, false, 0, 0, false)
if err != nil {
modelFile = input.Model
log.Warn().Msgf("Model not found in context: %s", input.Model)
} else {
modelFile = cfg.Model
}
log.Debug().Msgf("Request for model: %s", modelFile)
if input.Backend != "" {
cfg.Backend = input.Backend
}
filePath, _, err := backend.ModelTTS(cfg.Backend, input.Input, modelFile, ml, appConfig, *cfg)
if err != nil {
return err
}
return c.Download(filePath)
}
}