wehub-resource-sync
55 lines
1.7 KiB
Go
55 lines
1.7 KiB
Go
package localai
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import (
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"net/http"
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"github.com/labstack/echo/v4"
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"github.com/mudler/LocalAI/core/backend"
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"github.com/mudler/LocalAI/core/config"
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"github.com/mudler/LocalAI/core/http/middleware"
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"github.com/mudler/LocalAI/core/schema"
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"github.com/mudler/LocalAI/pkg/model"
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"github.com/mudler/xlog"
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)
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// FaceEmbedEndpoint extracts a face embedding vector from an image.
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//
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// Distinct from /v1/embeddings, which is OpenAI-compatible and text-only
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// by contract (its `input` field is a string or string list of TEXT to
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// embed). Passing an image data-URI to /v1/embeddings does not work —
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// use this endpoint instead.
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//
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// @Summary Extract a face embedding from an image.
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// @Tags face-recognition
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// @Param request body schema.FaceEmbedRequest true "query params"
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// @Success 200 {object} schema.FaceEmbedResponse "Response"
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// @Router /v1/face/embed [post]
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func FaceEmbedEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
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return func(c echo.Context) error {
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input, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_LOCALAI_REQUEST).(*schema.FaceEmbedRequest)
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if !ok || input.Model == "" {
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return echo.ErrBadRequest
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}
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cfg, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_MODEL_CONFIG).(*config.ModelConfig)
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if !ok || cfg == nil {
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return echo.ErrBadRequest
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}
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img, err := decodeImageInput(input.Img)
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if err != nil {
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return err
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}
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xlog.Debug("FaceEmbed", "model", cfg.Name, "backend", cfg.Backend)
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vec, err := backend.FaceEmbed(c.Request().Context(), img, ml, appConfig, *cfg)
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if err != nil {
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return mapBackendError(err)
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}
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return c.JSON(http.StatusOK, schema.FaceEmbedResponse{
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Embedding: vec,
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Dim: len(vec),
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Model: cfg.Name,
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})
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}
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}
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