feat(api): allow to pass audios to backends (#3603)

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

backend/backend.proto

@@ -135,6 +135,7 @@ message PredictOptions {
   bool UseTokenizerTemplate = 43;
   repeated Message Messages = 44;
   repeated string Videos = 45;
+  repeated string Audios = 46;
 }
 
 // The response message containing the result

core/backend/llm.go

@@ -31,7 +31,7 @@ type TokenUsage struct {
 	Completion int
 }
 
-func ModelInference(ctx context.Context, s string, messages []schema.Message, images, videos []string, loader *model.ModelLoader, c config.BackendConfig, o *config.ApplicationConfig, tokenCallback func(string, TokenUsage) bool) (func() (LLMResponse, error), error) {
+func ModelInference(ctx context.Context, s string, messages []schema.Message, images, videos, audios []string, loader *model.ModelLoader, c config.BackendConfig, o *config.ApplicationConfig, tokenCallback func(string, TokenUsage) bool) (func() (LLMResponse, error), error) {
 	modelFile := c.Model
 	threads := c.Threads
 	if *threads == 0 && o.Threads != 0 {
@@ -102,6 +102,7 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
 		opts.UseTokenizerTemplate = c.TemplateConfig.UseTokenizerTemplate
 		opts.Images = images
 		opts.Videos = videos
+		opts.Audios = audios
 
 		tokenUsage := TokenUsage{}
 

core/http/endpoints/openai/chat.go

@@ -644,8 +644,12 @@ func handleQuestion(config *config.BackendConfig, input *schema.OpenAIRequest, m
 	for _, m := range input.Messages {
 		videos = append(videos, m.StringVideos...)
 	}
+	audios := []string{}
+	for _, m := range input.Messages {
+		audios = append(audios, m.StringAudios...)
+	}
 
-	predFunc, err := backend.ModelInference(input.Context, prompt, input.Messages, images, videos, ml, *config, o, nil)
+	predFunc, err := backend.ModelInference(input.Context, prompt, input.Messages, images, videos, audios, ml, *config, o, nil)
 	if err != nil {
 		log.Error().Err(err).Msg("model inference failed")
 		return "", err

core/http/endpoints/openai/inference.go

@@ -31,9 +31,13 @@ func ComputeChoices(
 	for _, m := range req.Messages {
 		videos = append(videos, m.StringVideos...)
 	}
+	audios := []string{}
+	for _, m := range req.Messages {
+		audios = append(audios, m.StringAudios...)
+	}
 
 	// get the model function to call for the result
-	predFunc, err := backend.ModelInference(req.Context, predInput, req.Messages, images, videos, loader, *config, o, tokenCallback)
+	predFunc, err := backend.ModelInference(req.Context, predInput, req.Messages, images, videos, audios, loader, *config, o, tokenCallback)
 	if err != nil {
 		return result, backend.TokenUsage{}, err
 	}

core/http/endpoints/openai/request.go

@@ -135,7 +135,7 @@ func updateRequestConfig(config *config.BackendConfig, input *schema.OpenAIReque
 	}
 
 	// Decode each request's message content
-	imgIndex, vidIndex := 0, 0
+	imgIndex, vidIndex, audioIndex := 0, 0, 0
 	for i, m := range input.Messages {
 		switch content := m.Content.(type) {
 		case string:
@@ -160,9 +160,19 @@ func updateRequestConfig(config *config.BackendConfig, input *schema.OpenAIReque
 					// set a placeholder for each image
 					input.Messages[i].StringContent = fmt.Sprintf("[vid-%d]", vidIndex) + input.Messages[i].StringContent
 					vidIndex++
+				case "audio_url", "audio":
+					// Decode content as base64 either if it's an URL or base64 text
+					base64, err := utils.GetContentURIAsBase64(pp.AudioURL.URL)
+					if err != nil {
+						log.Error().Msgf("Failed encoding image: %s", err)
+						continue CONTENT
+					}
+					input.Messages[i].StringAudios = append(input.Messages[i].StringAudios, base64) // TODO: make sure that we only return base64 stuff
+					// set a placeholder for each image
+					input.Messages[i].StringContent = fmt.Sprintf("[audio-%d]", audioIndex) + input.Messages[i].StringContent
+					audioIndex++
 				case "image_url", "image":
 					// Decode content as base64 either if it's an URL or base64 text
-
 					base64, err := utils.GetContentURIAsBase64(pp.ImageURL.URL)
 					if err != nil {
 						log.Error().Msgf("Failed encoding image: %s", err)

core/schema/openai.go

@@ -58,6 +58,7 @@ type Content struct {
 	Type     string     `json:"type" yaml:"type"`
 	Text     string     `json:"text" yaml:"text"`
 	ImageURL ContentURL `json:"image_url" yaml:"image_url"`
+	AudioURL ContentURL `json:"audio_url" yaml:"audio_url"`
 	VideoURL ContentURL `json:"video_url" yaml:"video_url"`
 }
 
@@ -78,6 +79,7 @@ type Message struct {
 	StringContent string   `json:"string_content,omitempty" yaml:"string_content,omitempty"`
 	StringImages  []string `json:"string_images,omitempty" yaml:"string_images,omitempty"`
 	StringVideos  []string `json:"string_videos,omitempty" yaml:"string_videos,omitempty"`
+	StringAudios  []string `json:"string_audios,omitempty" yaml:"string_audios,omitempty"`
 
 	// A result of a function call
 	FunctionCall interface{} `json:"function_call,omitempty" yaml:"function_call,omitempty"`