forked from mudler/LocalAI
-
Notifications
You must be signed in to change notification settings - Fork 0
/
main.go
533 lines (499 loc) · 16 KB
/
main.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
package main
import (
"context"
"encoding/json"
"errors"
"fmt"
"os"
"os/signal"
"path/filepath"
"strings"
"syscall"
"time"
"github.com/go-skynet/LocalAI/core/backend"
"github.com/go-skynet/LocalAI/core/config"
"github.com/go-skynet/LocalAI/core/http"
"github.com/go-skynet/LocalAI/core/startup"
"github.com/go-skynet/LocalAI/internal"
"github.com/go-skynet/LocalAI/pkg/gallery"
model "github.com/go-skynet/LocalAI/pkg/model"
"github.com/rs/zerolog"
"github.com/rs/zerolog/log"
progressbar "github.com/schollz/progressbar/v3"
"github.com/urfave/cli/v2"
)
const (
remoteLibraryURL = "https://raw.githubusercontent.com/mudler/LocalAI/master/embedded/model_library.yaml"
)
func main() {
log.Logger = log.Output(zerolog.ConsoleWriter{Out: os.Stderr})
// clean up process
go func() {
c := make(chan os.Signal, 1) // we need to reserve to buffer size 1, so the notifier are not blocked
signal.Notify(c, os.Interrupt, syscall.SIGTERM)
<-c
os.Exit(1)
}()
path, err := os.Getwd()
if err != nil {
log.Error().Msgf("error: %s", err.Error())
os.Exit(1)
}
app := &cli.App{
Name: "LocalAI",
Version: internal.PrintableVersion(),
Usage: "OpenAI, OSS alternative. Drop-in compatible API for running LLM, GPT and genAI models locally on CPU, GPUs with consumer grade hardware. Supported server endpoints: OpenAI, Elevenlabs",
Flags: []cli.Flag{
&cli.BoolFlag{
Name: "f16",
EnvVars: []string{"F16"},
},
&cli.BoolFlag{
Name: "autoload-galleries",
EnvVars: []string{"AUTOLOAD_GALLERIES"},
},
&cli.BoolFlag{
Name: "debug",
EnvVars: []string{"DEBUG"},
},
&cli.BoolFlag{
Name: "single-active-backend",
EnvVars: []string{"SINGLE_ACTIVE_BACKEND"},
Usage: "Allow only one backend to be running.",
},
&cli.BoolFlag{
Name: "parallel-requests",
EnvVars: []string{"PARALLEL_REQUESTS"},
Usage: "Enable backends to handle multiple requests in parallel. This is for backends that supports multiple requests in parallel, like llama.cpp or vllm",
},
&cli.BoolFlag{
Name: "cors",
EnvVars: []string{"CORS"},
},
&cli.StringFlag{
Name: "cors-allow-origins",
EnvVars: []string{"CORS_ALLOW_ORIGINS"},
},
&cli.IntFlag{
Name: "threads",
Usage: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
EnvVars: []string{"THREADS"},
Value: 4,
},
&cli.StringFlag{
Name: "models-path",
Usage: "Path containing models used for inferencing",
EnvVars: []string{"MODELS_PATH"},
Value: filepath.Join(path, "models"),
},
&cli.StringFlag{
Name: "galleries",
Usage: "JSON list of galleries",
EnvVars: []string{"GALLERIES"},
},
&cli.StringFlag{
Name: "remote-library",
Usage: "A LocalAI remote library URL",
EnvVars: []string{"REMOTE_LIBRARY"},
Value: remoteLibraryURL,
},
&cli.StringFlag{
Name: "preload-models",
Usage: "A List of models to apply in JSON at start",
EnvVars: []string{"PRELOAD_MODELS"},
},
&cli.StringSliceFlag{
Name: "models",
Usage: "A List of models URLs configurations.",
EnvVars: []string{"MODELS"},
},
&cli.StringFlag{
Name: "preload-models-config",
Usage: "A List of models to apply at startup. Path to a YAML config file",
EnvVars: []string{"PRELOAD_MODELS_CONFIG"},
},
&cli.StringFlag{
Name: "config-file",
Usage: "Config file",
EnvVars: []string{"CONFIG_FILE"},
},
&cli.StringFlag{
Name: "address",
Usage: "Bind address for the API server.",
EnvVars: []string{"ADDRESS"},
Value: ":8080",
},
&cli.StringFlag{
Name: "image-path",
Usage: "Image directory",
EnvVars: []string{"IMAGE_PATH"},
Value: "/tmp/generated/images",
},
&cli.StringFlag{
Name: "audio-path",
Usage: "audio directory",
EnvVars: []string{"AUDIO_PATH"},
Value: "/tmp/generated/audio",
},
&cli.StringFlag{
Name: "upload-path",
Usage: "Path to store uploads from files api",
EnvVars: []string{"UPLOAD_PATH"},
Value: "/tmp/localai/upload",
},
&cli.StringFlag{
Name: "backend-assets-path",
Usage: "Path used to extract libraries that are required by some of the backends in runtime.",
EnvVars: []string{"BACKEND_ASSETS_PATH"},
Value: "/tmp/localai/backend_data",
},
&cli.StringSliceFlag{
Name: "external-grpc-backends",
Usage: "A list of external grpc backends",
EnvVars: []string{"EXTERNAL_GRPC_BACKENDS"},
},
&cli.IntFlag{
Name: "context-size",
Usage: "Default context size of the model",
EnvVars: []string{"CONTEXT_SIZE"},
Value: 512,
},
&cli.IntFlag{
Name: "upload-limit",
Usage: "Default upload-limit. MB",
EnvVars: []string{"UPLOAD_LIMIT"},
Value: 15,
},
&cli.StringSliceFlag{
Name: "api-keys",
Usage: "List of API Keys to enable API authentication. When this is set, all the requests must be authenticated with one of these API keys.",
EnvVars: []string{"API_KEY"},
},
&cli.BoolFlag{
Name: "enable-watchdog-idle",
Usage: "Enable watchdog for stopping idle backends. This will stop the backends if are in idle state for too long.",
EnvVars: []string{"WATCHDOG_IDLE"},
Value: false,
},
&cli.BoolFlag{
Name: "enable-watchdog-busy",
Usage: "Enable watchdog for stopping busy backends that exceed a defined threshold.",
EnvVars: []string{"WATCHDOG_BUSY"},
Value: false,
},
&cli.StringFlag{
Name: "watchdog-busy-timeout",
Usage: "Watchdog timeout. This will restart the backend if it crashes.",
EnvVars: []string{"WATCHDOG_BUSY_TIMEOUT"},
Value: "5m",
},
&cli.StringFlag{
Name: "watchdog-idle-timeout",
Usage: "Watchdog idle timeout. This will restart the backend if it crashes.",
EnvVars: []string{"WATCHDOG_IDLE_TIMEOUT"},
Value: "15m",
},
&cli.BoolFlag{
Name: "preload-backend-only",
Usage: "If set, the api is NOT launched, and only the preloaded models / backends are started. This is intended for multi-node setups.",
EnvVars: []string{"PRELOAD_BACKEND_ONLY"},
Value: false,
},
&cli.StringFlag{
Name: "localai-config-dir",
Usage: "Directory to use for the configuration files of LocalAI itself. This is NOT where model files should be placed.",
EnvVars: []string{"LOCALAI_CONFIG_DIR"},
Value: "./configuration",
},
},
Description: `
LocalAI is a drop-in replacement OpenAI API which runs inference locally.
Some of the models compatible are:
- Vicuna
- Koala
- GPT4ALL
- GPT4ALL-J
- Cerebras
- Alpaca
- StableLM (ggml quantized)
For a list of compatible model, check out: https://localai.io/model-compatibility/index.html
`,
UsageText: `local-ai [options]`,
Copyright: "Ettore Di Giacinto",
Action: func(ctx *cli.Context) error {
opts := []config.AppOption{
config.WithConfigFile(ctx.String("config-file")),
config.WithJSONStringPreload(ctx.String("preload-models")),
config.WithYAMLConfigPreload(ctx.String("preload-models-config")),
config.WithModelPath(ctx.String("models-path")),
config.WithContextSize(ctx.Int("context-size")),
config.WithDebug(ctx.Bool("debug")),
config.WithImageDir(ctx.String("image-path")),
config.WithAudioDir(ctx.String("audio-path")),
config.WithUploadDir(ctx.String("upload-path")),
config.WithF16(ctx.Bool("f16")),
config.WithStringGalleries(ctx.String("galleries")),
config.WithModelLibraryURL(ctx.String("remote-library")),
config.WithDisableMessage(false),
config.WithCors(ctx.Bool("cors")),
config.WithCorsAllowOrigins(ctx.String("cors-allow-origins")),
config.WithThreads(ctx.Int("threads")),
config.WithBackendAssets(backendAssets),
config.WithBackendAssetsOutput(ctx.String("backend-assets-path")),
config.WithUploadLimitMB(ctx.Int("upload-limit")),
config.WithApiKeys(ctx.StringSlice("api-keys")),
config.WithModelsURL(append(ctx.StringSlice("models"), ctx.Args().Slice()...)...),
}
idleWatchDog := ctx.Bool("enable-watchdog-idle")
busyWatchDog := ctx.Bool("enable-watchdog-busy")
if idleWatchDog || busyWatchDog {
opts = append(opts, config.EnableWatchDog)
if idleWatchDog {
opts = append(opts, config.EnableWatchDogIdleCheck)
dur, err := time.ParseDuration(ctx.String("watchdog-idle-timeout"))
if err != nil {
return err
}
opts = append(opts, config.SetWatchDogIdleTimeout(dur))
}
if busyWatchDog {
opts = append(opts, config.EnableWatchDogBusyCheck)
dur, err := time.ParseDuration(ctx.String("watchdog-busy-timeout"))
if err != nil {
return err
}
opts = append(opts, config.SetWatchDogBusyTimeout(dur))
}
}
if ctx.Bool("parallel-requests") {
opts = append(opts, config.EnableParallelBackendRequests)
}
if ctx.Bool("single-active-backend") {
opts = append(opts, config.EnableSingleBackend)
}
externalgRPC := ctx.StringSlice("external-grpc-backends")
// split ":" to get backend name and the uri
for _, v := range externalgRPC {
backend := v[:strings.IndexByte(v, ':')]
uri := v[strings.IndexByte(v, ':')+1:]
opts = append(opts, config.WithExternalBackend(backend, uri))
}
if ctx.Bool("autoload-galleries") {
opts = append(opts, config.EnableGalleriesAutoload)
}
if ctx.Bool("preload-backend-only") {
_, _, _, err := startup.Startup(opts...)
return err
}
cl, ml, options, err := startup.Startup(opts...)
if err != nil {
return fmt.Errorf("failed basic startup tasks with error %s", err.Error())
}
configdir := ctx.String("localai-config-dir")
// Watch the configuration directory
// If the directory does not exist, we don't watch it
if _, err := os.Stat(configdir); err == nil {
closeConfigWatcherFn, err := startup.WatchConfigDirectory(ctx.String("localai-config-dir"), options)
defer closeConfigWatcherFn()
if err != nil {
return fmt.Errorf("failed while watching configuration directory %s", ctx.String("localai-config-dir"))
}
}
appHTTP, err := http.App(cl, ml, options)
if err != nil {
log.Error().Msg("Error during HTTP App constructor")
return err
}
return appHTTP.Listen(ctx.String("address"))
},
Commands: []*cli.Command{
{
Name: "models",
Usage: "List or install models",
Subcommands: []*cli.Command{
{
Name: "list",
Usage: "List the models avaiable in your galleries",
Action: func(ctx *cli.Context) error {
var galleries []gallery.Gallery
if err := json.Unmarshal([]byte(ctx.String("galleries")), &galleries); err != nil {
log.Error().Msgf("unable to load galleries: %s", err.Error())
}
models, err := gallery.AvailableGalleryModels(galleries, ctx.String("models-path"))
if err != nil {
return err
}
for _, model := range models {
if model.Installed {
fmt.Printf(" * %s@%s (installed)\n", model.Gallery.Name, model.Name)
} else {
fmt.Printf(" - %s@%s\n", model.Gallery.Name, model.Name)
}
}
return nil
},
},
{
Name: "install",
Usage: "Install a model from the gallery",
Action: func(ctx *cli.Context) error {
modelName := ctx.Args().First()
var galleries []gallery.Gallery
if err := json.Unmarshal([]byte(ctx.String("galleries")), &galleries); err != nil {
log.Error().Msgf("unable to load galleries: %s", err.Error())
}
progressBar := progressbar.NewOptions(
1000,
progressbar.OptionSetDescription(fmt.Sprintf("downloading model %s", modelName)),
progressbar.OptionShowBytes(false),
progressbar.OptionClearOnFinish(),
)
progressCallback := func(fileName string, current string, total string, percentage float64) {
progressBar.Set(int(percentage * 10))
}
err = gallery.InstallModelFromGallery(galleries, modelName, ctx.String("models-path"), gallery.GalleryModel{}, progressCallback)
if err != nil {
return err
}
return nil
},
},
},
},
{
Name: "tts",
Usage: "Convert text to speech",
Flags: []cli.Flag{
&cli.StringFlag{
Name: "backend",
Value: "piper",
Aliases: []string{"b"},
Usage: "Backend to run the TTS model",
},
&cli.StringFlag{
Name: "model",
Aliases: []string{"m"},
Usage: "Model name to run the TTS",
Required: true,
},
&cli.StringFlag{
Name: "voice",
Aliases: []string{"v"},
Usage: "Voice name to run the TTS (optional)",
Required: true,
},
&cli.StringFlag{
Name: "output-file",
Aliases: []string{"o"},
Usage: "The path to write the output wav file",
},
},
Action: func(ctx *cli.Context) error {
modelOption := ctx.String("model")
if modelOption == "" {
return errors.New("--model parameter is required")
}
backendOption := ctx.String("backend")
if backendOption == "" {
backendOption = "piper"
}
outputFile := ctx.String("output-file")
outputDir := ctx.String("backend-assets-path")
if outputFile != "" {
outputDir = filepath.Dir(outputFile)
}
text := strings.Join(ctx.Args().Slice(), " ")
opts := &config.ApplicationConfig{
ModelPath: ctx.String("models-path"),
Context: context.Background(),
AudioDir: outputDir,
AssetsDestination: ctx.String("backend-assets-path"),
}
ml := model.NewModelLoader(opts.ModelPath)
defer ml.StopAllGRPC()
filePath, _, err := backend.ModelTTS(backendOption, text, modelOption, ctx.String("voice"), ml, opts, config.BackendConfig{})
if err != nil {
return err
}
if outputFile != "" {
if err := os.Rename(filePath, outputFile); err != nil {
return err
}
fmt.Printf("Generate file %s\n", outputFile)
} else {
fmt.Printf("Generate file %s\n", filePath)
}
return nil
},
},
{
Name: "transcript",
Usage: "Convert audio to text",
Flags: []cli.Flag{
&cli.StringFlag{
Name: "backend",
Value: "whisper",
Aliases: []string{"b"},
Usage: "Backend to run the transcription model",
},
&cli.StringFlag{
Name: "model",
Aliases: []string{"m"},
Usage: "Model name to run the transcription",
},
&cli.StringFlag{
Name: "language",
Aliases: []string{"l"},
Usage: "Language of the audio file",
},
&cli.IntFlag{
Name: "threads",
Aliases: []string{"t"},
Usage: "Threads to use",
Value: 1,
},
&cli.StringFlag{
Name: "output-file",
Aliases: []string{"o"},
Usage: "The path to write the output wav file",
},
},
Action: func(ctx *cli.Context) error {
modelOption := ctx.String("model")
filename := ctx.Args().First()
language := ctx.String("language")
threads := ctx.Int("threads")
opts := &config.ApplicationConfig{
ModelPath: ctx.String("models-path"),
Context: context.Background(),
AssetsDestination: ctx.String("backend-assets-path"),
}
cl := config.NewBackendConfigLoader()
ml := model.NewModelLoader(opts.ModelPath)
if err := cl.LoadBackendConfigsFromPath(ctx.String("models-path")); err != nil {
return err
}
c, exists := cl.GetBackendConfig(modelOption)
if !exists {
return errors.New("model not found")
}
c.Threads = &threads
defer ml.StopAllGRPC()
tr, err := backend.ModelTranscription(filename, language, ml, c, opts)
if err != nil {
return err
}
for _, segment := range tr.Segments {
fmt.Println(segment.Start.String(), "-", segment.Text)
}
return nil
},
},
},
}
err = app.Run(os.Args)
if err != nil {
log.Error().Msgf("error: %s", err.Error())
os.Exit(1)
}
}