🤖 Self-hosted, community-driven, local OpenAI-compatible API with Keycloak Auth Flak app as frontend. 🏠
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FlaskAI/main.go

107 lines
2.8 KiB

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package main
import (
"context"
"fmt"
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"os"
"path/filepath"
api "github.com/go-skynet/LocalAI/api"
model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/rs/zerolog"
"github.com/rs/zerolog/log"
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"github.com/urfave/cli/v2"
)
func main() {
log.Logger = log.Output(zerolog.ConsoleWriter{Out: os.Stderr})
path, err := os.Getwd()
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if err != nil {
log.Error().Msgf("error: %s", err.Error())
os.Exit(1)
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}
app := &cli.App{
Name: "LocalAI",
Usage: "OpenAI compatible API for running LLaMA/GPT models locally on CPU with consumer grade hardware.",
Flags: []cli.Flag{
&cli.BoolFlag{
Name: "f16",
EnvVars: []string{"F16"},
},
&cli.BoolFlag{
Name: "debug",
EnvVars: []string{"DEBUG"},
},
&cli.IntFlag{
Name: "threads",
DefaultText: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
EnvVars: []string{"THREADS"},
Value: 4,
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},
&cli.StringFlag{
Name: "models-path",
DefaultText: "Path containing models used for inferencing",
EnvVars: []string{"MODELS_PATH"},
Value: filepath.Join(path, "models"),
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},
&cli.StringFlag{
Name: "config-file",
DefaultText: "Config file",
EnvVars: []string{"CONFIG_FILE"},
},
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&cli.StringFlag{
Name: "address",
DefaultText: "Bind address for the API server.",
EnvVars: []string{"ADDRESS"},
Value: ":8080",
},
&cli.StringFlag{
Name: "image-path",
DefaultText: "Image directory",
EnvVars: []string{"IMAGE_PATH"},
Value: "",
},
&cli.IntFlag{
Name: "context-size",
DefaultText: "Default context size of the model",
EnvVars: []string{"CONTEXT_SIZE"},
Value: 512,
},
&cli.IntFlag{
Name: "upload-limit",
DefaultText: "Default upload-limit. MB",
EnvVars: []string{"UPLOAD_LIMIT"},
Value: 15,
},
},
Description: `
LocalAI is a drop-in replacement OpenAI API which runs inference locally.
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Some of the models compatible are:
- Vicuna
- Koala
- GPT4ALL
- GPT4ALL-J
- Cerebras
- Alpaca
- StableLM (ggml quantized)
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It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
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`,
UsageText: `local-ai [options]`,
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Copyright: "go-skynet authors",
Action: func(ctx *cli.Context) error {
fmt.Printf("Starting LocalAI using %d threads, with models path: %s\n", ctx.Int("threads"), ctx.String("models-path"))
return api.App(context.Background(), ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("upload-limit"), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false, ctx.String("image-path")).Listen(ctx.String("address"))
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},
}
err = app.Run(os.Args)
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if err != nil {
log.Error().Msgf("error: %s", err.Error())
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os.Exit(1)
}
}