mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-30 09:28:51 +00:00
122 lines
3.0 KiB
Go
122 lines
3.0 KiB
Go
package backend
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import (
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"os"
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"regexp"
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"strings"
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"sync"
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config "github.com/go-skynet/LocalAI/api/config"
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"github.com/go-skynet/LocalAI/api/options"
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"github.com/go-skynet/LocalAI/pkg/gallery"
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"github.com/go-skynet/LocalAI/pkg/grpc"
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model "github.com/go-skynet/LocalAI/pkg/model"
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"github.com/go-skynet/LocalAI/pkg/utils"
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)
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func ModelInference(s string, loader *model.ModelLoader, c config.Config, o *options.Option, tokenCallback func(string) bool) (func() (string, error), error) {
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modelFile := c.Model
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grpcOpts := gRPCModelOpts(c)
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var inferenceModel *grpc.Client
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var err error
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opts := []model.Option{
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model.WithLoadGRPCLLMModelOpts(grpcOpts),
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model.WithThreads(uint32(c.Threads)), // some models uses this to allocate threads during startup
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model.WithAssetDir(o.AssetsDestination),
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model.WithModelFile(modelFile),
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model.WithContext(o.Context),
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}
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for k, v := range o.ExternalGRPCBackends {
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opts = append(opts, model.WithExternalBackend(k, v))
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}
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if c.Backend != "" {
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opts = append(opts, model.WithBackendString(c.Backend))
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}
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// Check if the modelFile exists, if it doesn't try to load it from the gallery
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if o.AutoloadGalleries { // experimental
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if _, err := os.Stat(modelFile); os.IsNotExist(err) {
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utils.ResetDownloadTimers()
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// if we failed to load the model, we try to download it
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err := gallery.InstallModelFromGalleryByName(o.Galleries, modelFile, loader.ModelPath, gallery.GalleryModel{}, utils.DisplayDownloadFunction)
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if err != nil {
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return nil, err
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}
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}
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}
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if c.Backend == "" {
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inferenceModel, err = loader.GreedyLoader(opts...)
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} else {
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inferenceModel, err = loader.BackendLoader(opts...)
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}
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if err != nil {
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return nil, err
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}
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// in GRPC, the backend is supposed to answer to 1 single token if stream is not supported
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fn := func() (string, error) {
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opts := gRPCPredictOpts(c, loader.ModelPath)
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opts.Prompt = s
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if tokenCallback != nil {
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ss := ""
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err := inferenceModel.PredictStream(o.Context, opts, func(s string) {
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tokenCallback(s)
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ss += s
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})
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return ss, err
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} else {
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reply, err := inferenceModel.Predict(o.Context, opts)
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return reply.Message, err
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}
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}
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return func() (string, error) {
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// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
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mutexMap.Lock()
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l, ok := mutexes[modelFile]
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if !ok {
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m := &sync.Mutex{}
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mutexes[modelFile] = m
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l = m
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}
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mutexMap.Unlock()
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l.Lock()
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defer l.Unlock()
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return fn()
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}, nil
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}
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var cutstrings map[string]*regexp.Regexp = make(map[string]*regexp.Regexp)
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var mu sync.Mutex = sync.Mutex{}
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func Finetune(config config.Config, input, prediction string) string {
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if config.Echo {
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prediction = input + prediction
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}
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for _, c := range config.Cutstrings {
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mu.Lock()
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reg, ok := cutstrings[c]
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if !ok {
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cutstrings[c] = regexp.MustCompile(c)
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reg = cutstrings[c]
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}
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mu.Unlock()
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prediction = reg.ReplaceAllString(prediction, "")
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}
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for _, c := range config.TrimSpace {
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prediction = strings.TrimSpace(strings.TrimPrefix(prediction, c))
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}
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return prediction
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}
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