LocalAI/embedded/embedded.go
2024-01-28 00:14:16 +01:00

69 lines
1.4 KiB
Go

package embedded
import (
"embed"
"fmt"
"slices"
"strings"
"github.com/go-skynet/LocalAI/pkg/downloader"
"github.com/go-skynet/LocalAI/pkg/assets"
"gopkg.in/yaml.v3"
)
var modelShorteners map[string]string
//go:embed model_library.yaml
var modelLibrary []byte
//go:embed models/*
var embeddedModels embed.FS
func ModelShortURL(s string) string {
if _, ok := modelShorteners[s]; ok {
s = modelShorteners[s]
}
return s
}
func init() {
yaml.Unmarshal(modelLibrary, &modelShorteners)
}
func GetRemoteLibraryShorteners(url string) (map[string]string, error) {
remoteLibrary := map[string]string{}
err := downloader.GetURI(url, func(_ string, i []byte) error {
return yaml.Unmarshal(i, &remoteLibrary)
})
if err != nil {
return nil, fmt.Errorf("error downloading remote library: %s", err.Error())
}
return remoteLibrary, err
}
// ExistsInModelsLibrary checks if a model exists in the embedded models library
func ExistsInModelsLibrary(s string) bool {
f := fmt.Sprintf("%s.yaml", s)
a := []string{}
for _, j := range assets.ListFiles(embeddedModels) {
a = append(a, strings.TrimPrefix(j, "models/"))
}
return slices.Contains(a, f)
}
// ResolveContent returns the content in the embedded model library
func ResolveContent(s string) ([]byte, error) {
if ExistsInModelsLibrary(s) {
return embeddedModels.ReadFile(fmt.Sprintf("models/%s.yaml", s))
}
return nil, fmt.Errorf("cannot find model %s", s)
}