LocalAI/embedded/embedded.go

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package embedded
import (
"embed"
"fmt"
"slices"
"strings"
"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)
}
// 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)
}