docs(transformers): add docs section about transformers

Fixes: #1276

backend/backend.proto

@@ -191,6 +191,7 @@ message TTSRequest {
   string text = 1;
   string model = 2;
   string dst = 3;
+  string voice = 4;
 }
 
 message TokenizationResponse {

core/backend/tts.go

@@ -29,7 +29,7 @@ func generateUniqueFileName(dir, baseName, ext string) string {
 	}
 }
 
-func ModelTTS(backend, text, modelFile string, loader *model.ModelLoader, appConfig *config.ApplicationConfig, backendConfig config.BackendConfig) (string, *proto.Result, error) {
+func ModelTTS(backend, text, modelFile, voice string, loader *model.ModelLoader, appConfig *config.ApplicationConfig, backendConfig config.BackendConfig) (string, *proto.Result, error) {
 	bb := backend
 	if bb == "" {
 		bb = model.PiperBackend
@@ -44,12 +44,12 @@ func ModelTTS(backend, text, modelFile string, loader *model.ModelLoader, appCon
 		model.WithAssetDir(appConfig.AssetsDestination),
 		model.WithLoadGRPCLoadModelOpts(grpcOpts),
 	})
-	piperModel, err := loader.BackendLoader(opts...)
+	ttsModel, err := loader.BackendLoader(opts...)
 	if err != nil {
 		return "", nil, err
 	}
 
-	if piperModel == nil {
+	if ttsModel == nil {
 		return "", nil, fmt.Errorf("could not load piper model")
 	}
 
@@ -57,25 +57,31 @@ func ModelTTS(backend, text, modelFile string, loader *model.ModelLoader, appCon
 		return "", nil, fmt.Errorf("failed creating audio directory: %s", err)
 	}
 
-	fileName := generateUniqueFileName(appConfig.AudioDir, "piper", ".wav")
+	fileName := generateUniqueFileName(appConfig.AudioDir, "tts", ".wav")
 	filePath := filepath.Join(appConfig.AudioDir, fileName)
 
 	// If the model file is not empty, we pass it joined with the model path
 	modelPath := ""
 	if modelFile != "" {
-		if bb != model.TransformersMusicGen {
-			modelPath = filepath.Join(loader.ModelPath, modelFile)
-			if err := utils.VerifyPath(modelPath, appConfig.ModelPath); err != nil {
+		// If the model file is not empty, we pass it joined with the model path
+		// Checking first that it exists and is not outside ModelPath
+		// TODO: we should actually first check if the modelFile is looking like
+		// a FS path
+		mp := filepath.Join(loader.ModelPath, modelFile)
+		if _, err := os.Stat(mp); err == nil {
+			if err := utils.VerifyPath(mp, appConfig.ModelPath); err != nil {
 				return "", nil, err
 			}
+			modelPath = mp
 		} else {
 			modelPath = modelFile
 		}
 	}
 
-	res, err := piperModel.TTS(context.Background(), &proto.TTSRequest{
+	res, err := ttsModel.TTS(context.Background(), &proto.TTSRequest{
 		Text:  text,
 		Model: modelPath,
+		Voice: voice,
 		Dst:   filePath,
 	})
 

core/http/api.go

@@ -6,6 +6,7 @@ import (
 	"os"
 	"strings"
 
+	"github.com/go-skynet/LocalAI/core/http/endpoints/elevenlabs"
 	"github.com/go-skynet/LocalAI/core/http/endpoints/localai"
 	"github.com/go-skynet/LocalAI/core/http/endpoints/openai"
 
@@ -21,6 +22,24 @@ import (
 	"github.com/gofiber/fiber/v2/middleware/recover"
 )
 
+func readAuthHeader(c *fiber.Ctx) string {
+	authHeader := c.Get("Authorization")
+
+	// elevenlabs
+	xApiKey := c.Get("xi-api-key")
+	if xApiKey != "" {
+		authHeader = "Bearer " + xApiKey
+	}
+
+	// anthropic
+	xApiKey = c.Get("x-api-key")
+	if xApiKey != "" {
+		authHeader = "Bearer " + xApiKey
+	}
+
+	return authHeader
+}
+
 func App(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) (*fiber.App, error) {
 	// Return errors as JSON responses
 	app := fiber.New(fiber.Config{
@@ -94,10 +113,12 @@ func App(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *confi
 			return c.Next()
 		}
 
-		authHeader := c.Get("Authorization")
+		authHeader := readAuthHeader(c)
 		if authHeader == "" {
 			return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Authorization header missing"})
 		}
+
+		// If it's a bearer token
 		authHeaderParts := strings.Split(authHeader, " ")
 		if len(authHeaderParts) != 2 || authHeaderParts[0] != "Bearer" {
 			return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Invalid Authorization header format"})
@@ -111,7 +132,6 @@ func App(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *confi
 		}
 
 		return c.Status(fiber.StatusUnauthorized).JSON(fiber.Map{"message": "Invalid API key"})
-
 	}
 
 	if appConfig.CORS {
@@ -147,6 +167,11 @@ func App(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *confi
 	app.Get("/models/jobs/:uuid", auth, modelGalleryEndpointService.GetOpStatusEndpoint())
 	app.Get("/models/jobs", auth, modelGalleryEndpointService.GetAllStatusEndpoint())
 
+	app.Post("/tts", auth, localai.TTSEndpoint(cl, ml, appConfig))
+
+	// Elevenlabs
+	app.Post("/v1/text-to-speech/:voice-id", auth, elevenlabs.TTSEndpoint(cl, ml, appConfig))
+
 	// openAI compatible API endpoint
 
 	// chat
@@ -181,7 +206,7 @@ func App(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfig *confi
 
 	// audio
 	app.Post("/v1/audio/transcriptions", auth, openai.TranscriptEndpoint(cl, ml, appConfig))
-	app.Post("/tts", auth, localai.TTSEndpoint(cl, ml, appConfig))
+	app.Post("/v1/audio/speech", auth, localai.TTSEndpoint(cl, ml, appConfig))
 
 	// images
 	app.Post("/v1/images/generations", auth, openai.ImageEndpoint(cl, ml, appConfig))

core/http/endpoints/elevenlabs/tts.go

@@ -0,0 +1,55 @@
+package elevenlabs
+
+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.ElevenLabsTTSRequest)
+		voiceID := c.Params("voice-id")
+
+		// Get input data from the request body
+		if err := c.BodyParser(input); err != nil {
+			return err
+		}
+
+		modelFile, err := fiberContext.ModelFromContext(c, ml, input.ModelID, false)
+		if err != nil {
+			modelFile = input.ModelID
+			log.Warn().Msgf("Model not found in context: %s", input.ModelID)
+		}
+
+		cfg, err := cl.LoadBackendConfigFileByName(modelFile, appConfig.ModelPath,
+			config.LoadOptionDebug(appConfig.Debug),
+			config.LoadOptionThreads(appConfig.Threads),
+			config.LoadOptionContextSize(appConfig.ContextSize),
+			config.LoadOptionF16(appConfig.F16),
+		)
+		if err != nil {
+			modelFile = input.ModelID
+			log.Warn().Msgf("Model not found in context: %s", input.ModelID)
+		} else {
+			if input.ModelID != "" {
+				modelFile = input.ModelID
+			} else {
+				modelFile = cfg.Model
+			}
+		}
+		log.Debug().Msgf("Request for model: %s", modelFile)
+
+		filePath, _, err := backend.ModelTTS(cfg.Backend, input.Text, modelFile, voiceID, ml, appConfig, *cfg)
+		if err != nil {
+			return err
+		}
+		return c.Download(filePath)
+	}
+}

core/http/endpoints/localai/tts.go

@@ -46,7 +46,7 @@ func TTSEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, appConfi
 			cfg.Backend = input.Backend
 		}
 
-		filePath, _, err := backend.ModelTTS(cfg.Backend, input.Input, modelFile, ml, appConfig, *cfg)
+		filePath, _, err := backend.ModelTTS(cfg.Backend, input.Input, modelFile, input.Voice, ml, appConfig, *cfg)
 		if err != nil {
 			return err
 		}

core/schema/elevenlabs.go

@@ -0,0 +1,6 @@
+package schema
+
+type ElevenLabsTTSRequest struct {
+	Text    string `json:"text" yaml:"text"`
+	ModelID string `json:"model_id" yaml:"model_id"`
+}

core/schema/localai.go

@@ -17,5 +17,6 @@ type BackendMonitorResponse struct {
 type TTSRequest struct {
 	Model   string `json:"model" yaml:"model"`
 	Input   string `json:"input" yaml:"input"`
+	Voice   string `json:"voice" yaml:"voice"`
 	Backend string `json:"backend" yaml:"backend"`
 }

docs/content/docs/features/text-generation.md

@@ -272,3 +272,56 @@ curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d
    "temperature": 0.1, "top_p": 0.1
  }'
 ```
+
+### Transformers
+
+[Transformers](https://huggingface.co/docs/transformers/index) is a State-of-the-art Machine Learning library for PyTorch, TensorFlow, and JAX.
+
+LocalAI has a built-in integration with Transformers, and it can be used to run models.
+
+This is an extra backend - in the container images (the `extra` images already contains python dependencies for Transformers) is already available and there is nothing to do for the setup.
+
+#### Setup
+
+Create a YAML file for the model you want to use with `transformers`.
+
+To setup a model, you need to just specify the model name in the YAML config file:
+```yaml
+name: transformers
+backend: transformers
+parameters:
+    model: "facebook/opt-125m"
+type: AutoModelForCausalLM
+quantization: bnb_4bit # One of: bnb_8bit, bnb_4bit, xpu_4bit (optional)
+```
+
+The backend will automatically download the required files in order to run the model.
+
+#### Parameters
+
+##### Type
+
+| Type | Description |
+| --- | --- |
+| `AutoModelForCausalLM` | `AutoModelForCausalLM` is a model that can be used to generate sequences. |
+| N/A | Defaults to `AutoModel` |
+
+
+##### Quantization
+
+| Quantization | Description |
+| --- | --- |
+| `bnb_8bit` | 8-bit quantization |
+| `bnb_4bit` | 4-bit quantization |
+| `xpu_4bit` | 4-bit quantization for Intel XPUs |
+
+#### Usage
+
+Use the `completions` endpoint by specifying the `transformers` model:
+```
+curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{   
+   "model": "transformers",
+   "prompt": "Hello, my name is",
+   "temperature": 0.1, "top_p": 0.1
+ }'
+```

docs/content/docs/features/text-to-audio.md

@@ -6,7 +6,13 @@ weight = 11
 url = "/features/text-to-audio/"
 +++
 
-The `/tts` endpoint can be used to generate speech from text.
+## API Compatibility
+
+The LocalAI TTS API is compatible with the [OpenAI TTS API](https://platform.openai.com/docs/guides/text-to-speech) and the [Elevenlabs](https://api.elevenlabs.io/docs) API.
+
+## LocalAI API
+
+The `/tts` endpoint can also be used to generate speech from text.
 
 ## Usage
 

main.go

@@ -50,7 +50,7 @@ func main() {
 	app := &cli.App{
 		Name:    "LocalAI",
 		Version: internal.PrintableVersion(),
-		Usage:   "OpenAI compatible API for running LLaMA/GPT models locally on CPU with consumer grade hardware.",
+		Usage:   "OpenAI, OSS alternative. Drop-in compatible API for running LLM, GPT and genAI models locally on CPU, GPUs with consumer grade hardware. Supported server endpoints: OpenAI, Elevenlabs",
 		Flags: []cli.Flag{
 			&cli.BoolFlag{
 				Name:    "f16",
@@ -394,6 +394,12 @@ For a list of compatible model, check out: https://localai.io/model-compatibilit
 						Usage:    "Model name to run the TTS",
 						Required: true,
 					},
+					&cli.StringFlag{
+						Name:     "voice",
+						Aliases:  []string{"v"},
+						Usage:    "Voice name to run the TTS (optional)",
+						Required: true,
+					},
 					&cli.StringFlag{
 						Name:    "output-file",
 						Aliases: []string{"o"},
@@ -427,7 +433,7 @@ For a list of compatible model, check out: https://localai.io/model-compatibilit
 
 					defer ml.StopAllGRPC()
 
-					filePath, _, err := backend.ModelTTS(backendOption, text, modelOption, ml, opts, config.BackendConfig{})
+					filePath, _, err := backend.ModelTTS(backendOption, text, modelOption, ctx.String("voice"), ml, opts, config.BackendConfig{})
 					if err != nil {
 						return err
 					}

pkg/grpc/proto/backend.pb.go

@@ -1,7 +1,7 @@
 // Code generated by protoc-gen-go. DO NOT EDIT.
 // versions:
 // 	protoc-gen-go v1.26.0
-// 	protoc        v4.25.3
+// 	protoc        v4.23.4
 // source: backend.proto
 
 package proto
@@ -1436,6 +1436,7 @@ type TTSRequest struct {
 	Text  string `protobuf:"bytes,1,opt,name=text,proto3" json:"text,omitempty"`
 	Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
 	Dst   string `protobuf:"bytes,3,opt,name=dst,proto3" json:"dst,omitempty"`
+	Voice string `protobuf:"bytes,4,opt,name=voice,proto3" json:"voice,omitempty"`
 }
 
 func (x *TTSRequest) Reset() {
@@ -1491,6 +1492,13 @@ func (x *TTSRequest) GetDst() string {
 	return ""
 }
 
+func (x *TTSRequest) GetVoice() string {
+	if x != nil {
+		return x.Voice
+	}
+	return ""
+}
+
 type TokenizationResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
@@ -1896,84 +1904,86 @@ var file_backend_proto_rawDesc = []byte{
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 }
 
 var (

pkg/grpc/proto/backend_grpc.pb.go

@@ -1,7 +1,7 @@
 // Code generated by protoc-gen-go-grpc. DO NOT EDIT.
 // versions:
 // - protoc-gen-go-grpc v1.2.0
-// - protoc             v4.25.3
+// - protoc             v4.23.4
 // source: backend.proto
 
 package proto