mirror of https://github.com/mudler/LocalAI.git
55 lines
1.8 KiB
Go
55 lines
1.8 KiB
Go
package startup
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import (
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"errors"
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"os"
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"path/filepath"
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"github.com/go-skynet/LocalAI/embedded"
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"github.com/go-skynet/LocalAI/pkg/downloader"
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"github.com/go-skynet/LocalAI/pkg/utils"
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"github.com/rs/zerolog/log"
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)
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// PreloadModelsConfigurations will preload models from the given list of URLs
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// It will download the model if it is not already present in the model path
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// It will also try to resolve if the model is an embedded model YAML configuration
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func PreloadModelsConfigurations(modelPath string, models ...string) {
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for _, url := range models {
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url = embedded.ModelShortURL(url)
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switch {
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case embedded.ExistsInModelsLibrary(url):
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modelYAML, err := embedded.ResolveContent(url)
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// If we resolve something, just save it to disk and continue
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if err != nil {
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log.Error().Msgf("error loading model: %s", err.Error())
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continue
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}
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log.Debug().Msgf("[startup] resolved embedded model: %s", url)
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md5Name := utils.MD5(url)
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if err := os.WriteFile(filepath.Join(modelPath, md5Name)+".yaml", modelYAML, os.ModePerm); err != nil {
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log.Error().Msgf("error loading model: %s", err.Error())
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}
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case downloader.LooksLikeURL(url):
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log.Debug().Msgf("[startup] resolved model to download: %s", url)
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// md5 of model name
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md5Name := utils.MD5(url)
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// check if file exists
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if _, err := os.Stat(filepath.Join(modelPath, md5Name)); errors.Is(err, os.ErrNotExist) {
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err := downloader.DownloadFile(url, filepath.Join(modelPath, md5Name)+".yaml", "", func(fileName, current, total string, percent float64) {
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utils.DisplayDownloadFunction(fileName, current, total, percent)
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})
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if err != nil {
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log.Error().Msgf("error loading model: %s", err.Error())
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}
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}
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default:
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log.Warn().Msgf("[startup] failed resolving model '%s'", url)
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}
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}
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}
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