mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-30 17:36:56 +00:00
171 lines
4.7 KiB
Go
171 lines
4.7 KiB
Go
package main
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import (
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"encoding/json"
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"fmt"
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"os"
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"path/filepath"
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api "github.com/go-skynet/LocalAI/api"
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"github.com/go-skynet/LocalAI/internal"
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"github.com/go-skynet/LocalAI/pkg/gallery"
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model "github.com/go-skynet/LocalAI/pkg/model"
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"github.com/rs/zerolog"
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"github.com/rs/zerolog/log"
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"github.com/urfave/cli/v2"
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)
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func main() {
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log.Logger = log.Output(zerolog.ConsoleWriter{Out: os.Stderr})
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path, err := os.Getwd()
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if err != nil {
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log.Error().Msgf("error: %s", err.Error())
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os.Exit(1)
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}
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app := &cli.App{
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Name: "LocalAI",
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Version: internal.PrintableVersion(),
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Usage: "OpenAI compatible API for running LLaMA/GPT models locally on CPU with consumer grade hardware.",
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Flags: []cli.Flag{
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&cli.BoolFlag{
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Name: "f16",
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EnvVars: []string{"F16"},
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},
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&cli.BoolFlag{
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Name: "debug",
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EnvVars: []string{"DEBUG"},
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},
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&cli.BoolFlag{
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Name: "cors",
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EnvVars: []string{"CORS"},
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},
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&cli.StringFlag{
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Name: "cors-allow-origins",
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EnvVars: []string{"CORS_ALLOW_ORIGINS"},
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},
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&cli.IntFlag{
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Name: "threads",
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Usage: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
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EnvVars: []string{"THREADS"},
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Value: 4,
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},
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&cli.StringFlag{
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Name: "models-path",
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Usage: "Path containing models used for inferencing",
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EnvVars: []string{"MODELS_PATH"},
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Value: filepath.Join(path, "models"),
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},
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&cli.StringFlag{
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Name: "galleries",
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Usage: "JSON list of galleries",
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EnvVars: []string{"GALLERIES"},
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},
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&cli.StringFlag{
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Name: "preload-models",
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Usage: "A List of models to apply in JSON at start",
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EnvVars: []string{"PRELOAD_MODELS"},
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},
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&cli.StringFlag{
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Name: "preload-models-config",
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Usage: "A List of models to apply at startup. Path to a YAML config file",
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EnvVars: []string{"PRELOAD_MODELS_CONFIG"},
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},
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&cli.StringFlag{
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Name: "config-file",
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Usage: "Config file",
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EnvVars: []string{"CONFIG_FILE"},
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},
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&cli.StringFlag{
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Name: "address",
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Usage: "Bind address for the API server.",
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EnvVars: []string{"ADDRESS"},
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Value: ":8080",
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},
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&cli.StringFlag{
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Name: "image-path",
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Usage: "Image directory",
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EnvVars: []string{"IMAGE_PATH"},
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Value: "/tmp/generated/images",
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},
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&cli.StringFlag{
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Name: "audio-path",
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Usage: "audio directory",
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EnvVars: []string{"AUDIO_PATH"},
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Value: "/tmp/generated/audio",
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},
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&cli.StringFlag{
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Name: "backend-assets-path",
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Usage: "Path used to extract libraries that are required by some of the backends in runtime.",
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EnvVars: []string{"BACKEND_ASSETS_PATH"},
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Value: "/tmp/localai/backend_data",
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},
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&cli.IntFlag{
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Name: "context-size",
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Usage: "Default context size of the model",
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EnvVars: []string{"CONTEXT_SIZE"},
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Value: 512,
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},
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&cli.IntFlag{
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Name: "upload-limit",
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Usage: "Default upload-limit. MB",
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EnvVars: []string{"UPLOAD_LIMIT"},
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Value: 15,
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},
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},
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Description: `
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LocalAI is a drop-in replacement OpenAI API which runs inference locally.
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Some of the models compatible are:
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- Vicuna
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- Koala
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- GPT4ALL
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- GPT4ALL-J
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- Cerebras
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- Alpaca
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- StableLM (ggml quantized)
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It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
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`,
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UsageText: `local-ai [options]`,
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Copyright: "go-skynet authors",
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Action: func(ctx *cli.Context) error {
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fmt.Printf("Starting LocalAI using %d threads, with models path: %s\n", ctx.Int("threads"), ctx.String("models-path"))
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galls := ctx.String("galleries")
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var galleries []gallery.Gallery
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err := json.Unmarshal([]byte(galls), &galleries)
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fmt.Println(err)
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app, err := api.App(
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api.WithConfigFile(ctx.String("config-file")),
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api.WithGalleries(galleries),
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api.WithJSONStringPreload(ctx.String("preload-models")),
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api.WithYAMLConfigPreload(ctx.String("preload-models-config")),
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api.WithModelLoader(model.NewModelLoader(ctx.String("models-path"))),
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api.WithContextSize(ctx.Int("context-size")),
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api.WithDebug(ctx.Bool("debug")),
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api.WithImageDir(ctx.String("image-path")),
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api.WithAudioDir(ctx.String("audio-path")),
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api.WithF16(ctx.Bool("f16")),
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api.WithDisableMessage(false),
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api.WithCors(ctx.Bool("cors")),
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api.WithCorsAllowOrigins(ctx.String("cors-allow-origins")),
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api.WithThreads(ctx.Int("threads")),
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api.WithBackendAssets(backendAssets),
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api.WithBackendAssetsOutput(ctx.String("backend-assets-path")),
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api.WithUploadLimitMB(ctx.Int("upload-limit")))
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if err != nil {
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return err
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}
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return app.Listen(ctx.String("address"))
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},
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}
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err = app.Run(os.Args)
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if err != nil {
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log.Error().Msgf("error: %s", err.Error())
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os.Exit(1)
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}
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}
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