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fbd0a270b3
* docs(swagger): comment LocalAI gallery endpoints and rerankers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Update core/http/endpoints/jina/rerank.go Co-authored-by: Dave <dave@gray101.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> * Update core/http/endpoints/jina/rerank.go Co-authored-by: Dave <dave@gray101.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> * Update core/http/endpoints/localai/gallery.go Co-authored-by: Dave <dave@gray101.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> * Update core/http/endpoints/localai/gallery.go Co-authored-by: Dave <dave@gray101.com> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> Co-authored-by: Dave <dave@gray101.com>
90 lines
2.6 KiB
Go
90 lines
2.6 KiB
Go
package jina
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import (
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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/gofiber/fiber/v2"
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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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// JINARerankEndpoint acts like the Jina reranker endpoint (https://jina.ai/reranker/)
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// @Summary Reranks a list of phrases by relevance to a given text query.
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// @Param request body schema.JINARerankRequest true "query params"
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// @Success 200 {object} schema.JINARerankResponse "Response"
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// @Router /v1/rerank [post]
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func JINARerankEndpoint(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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req := new(schema.JINARerankRequest)
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if err := c.BodyParser(req); err != nil {
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return c.Status(fiber.StatusBadRequest).JSON(fiber.Map{
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"error": "Cannot parse JSON",
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})
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}
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input := new(schema.TTSRequest)
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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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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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if input.Backend != "" {
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cfg.Backend = input.Backend
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}
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request := &proto.RerankRequest{
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Query: req.Query,
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TopN: int32(req.TopN),
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Documents: req.Documents,
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}
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results, err := backend.Rerank(cfg.Backend, modelFile, request, ml, appConfig, *cfg)
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if err != nil {
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return err
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}
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response := &schema.JINARerankResponse{
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Model: req.Model,
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}
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for _, r := range results.Results {
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response.Results = append(response.Results, schema.JINADocumentResult{
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Index: int(r.Index),
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Document: schema.JINAText{Text: r.Text},
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RelevanceScore: float64(r.RelevanceScore),
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})
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}
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response.Usage.TotalTokens = int(results.Usage.TotalTokens)
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response.Usage.PromptTokens = int(results.Usage.PromptTokens)
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return c.Status(fiber.StatusOK).JSON(response)
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}
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}
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