mirror of
https://github.com/mudler/LocalAI.git
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ab7b4d5ee9
Refactors api folder to core, creates firm split between backend code and api frontend.
50 lines
1.3 KiB
Go
50 lines
1.3 KiB
Go
package openai
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import (
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"fmt"
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"net/http"
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"os"
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"path"
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"github.com/go-skynet/LocalAI/core/backend"
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"github.com/go-skynet/LocalAI/core/services"
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"github.com/go-skynet/LocalAI/pkg/model"
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"github.com/go-skynet/LocalAI/pkg/schema"
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"github.com/go-skynet/LocalAI/pkg/utils"
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"github.com/gofiber/fiber/v2"
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"github.com/rs/zerolog/log"
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)
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// https://platform.openai.com/docs/api-reference/audio/create
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func TranscriptEndpoint(cl *services.ConfigLoader, ml *model.ModelLoader, so *schema.StartupOptions) func(c *fiber.Ctx) error {
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return func(c *fiber.Ctx) error {
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modelName, input, err := readInput(c, so, ml, true)
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if err != nil {
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return fmt.Errorf("failed reading parameters from request:%w", err)
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}
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// retrieve the file data from the request
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file, err := c.FormFile("file")
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if err != nil {
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return err
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}
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dst, err := utils.CreateTempFileFromMultipartFile(file, "", "transcription") // 3rd param formerly whisper
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if err != nil {
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return err
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}
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log.Debug().Msgf("Audio file copied to: %+v", dst)
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defer os.RemoveAll(path.Dir(dst))
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tr, err := backend.TranscriptionOpenAIRequest(modelName, input, dst, cl, ml, so)
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if err != nil {
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return fmt.Errorf("error generating transcription request: +%w", err)
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}
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log.Debug().Msgf("Trascribed: %+v", tr)
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// TODO: handle different outputs here
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return c.Status(http.StatusOK).JSON(tr)
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}
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}
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