[ { "path": ".github/FUNDING.yml", "content": "# These are supported funding model platforms\n\ngithub: tejasq # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]\npatreon: # Replace with a single Patreon username\nopen_collective: # Replace with a single Open Collective username\nko_fi: # Replace with a single Ko-fi username\ntidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel\ncommunity_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry\nliberapay: # Replace with a single Liberapay username\nissuehunt: # Replace with a single IssueHunt username\notechie: # Replace with a single Otechie username\nlfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry\ncustom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']\n" }, { "path": ".gitignore", "content": "# Created by https://www.toptal.com/developers/gitignore/api/node,macos,next,typescript,react,visualstudiocode,nextjs,solidjs,qwik,mitosis\n# Edit at https://www.toptal.com/developers/gitignore?templates=node,macos,next,typescript,react,visualstudiocode,nextjs,solidjs,qwik,mitosis\n\n### macOS ###\n# General\n.DS_Store\n.AppleDouble\n.LSOverride\n\n# Icon must end with two \\r\nIcon\n\n\n# Thumbnails\n._*\n\n# Files that might appear in the root of a volume\n.DocumentRevisions-V100\n.fseventsd\n.Spotlight-V100\n.TemporaryItems\n.Trashes\n.VolumeIcon.icns\n.com.apple.timemachine.donotpresent\n\n# Directories potentially created on remote AFP share\n.AppleDB\n.AppleDesktop\nNetwork Trash Folder\nTemporary Items\n.apdisk\n\n### macOS Patch ###\n# iCloud generated files\n*.icloud\n\n#!! ERROR: mitosis is undefined. Use list command to see defined gitignore types !!#\n\n#!! ERROR: next is undefined. Use list command to see defined gitignore types !!#\n\n### NextJS ###\n# dependencies\n/node_modules\n/.pnp\n.pnp.js\n\n# testing\n/coverage\n\n# next.js\n/.next/\n/out/\n\n# production\n/build\n\n# misc\n*.pem\n\n# debug\nnpm-debug.log*\nyarn-debug.log*\nyarn-error.log*\n.pnpm-debug.log*\n\n# local env files\n.env*.local\n\n# vercel\n.vercel\n\n# typescript\n*.tsbuildinfo\nnext-env.d.ts\n\n### Node ###\n# Logs\nlogs\n*.log\nlerna-debug.log*\n\n# Diagnostic reports (https://nodejs.org/api/report.html)\nreport.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json\n\n# Runtime data\npids\n*.pid\n*.seed\n*.pid.lock\n\n# Directory for instrumented libs generated by jscoverage/JSCover\nlib-cov\n\n# Coverage directory used by tools like istanbul\ncoverage\n*.lcov\n\n# nyc test coverage\n.nyc_output\n\n# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)\n.grunt\n\n# Bower dependency directory (https://bower.io/)\nbower_components\n\n# node-waf configuration\n.lock-wscript\n\n# Compiled binary addons (https://nodejs.org/api/addons.html)\nbuild/Release\n\n# Dependency directories\nnode_modules/\njspm_packages/\n\n# Snowpack dependency directory (https://snowpack.dev/)\nweb_modules/\n\n# TypeScript cache\n\n# Optional npm cache directory\n.npm\n\n# Optional eslint cache\n.eslintcache\n\n# Optional stylelint cache\n.stylelintcache\n\n# Microbundle cache\n.rpt2_cache/\n.rts2_cache_cjs/\n.rts2_cache_es/\n.rts2_cache_umd/\n\n# Optional REPL history\n.node_repl_history\n\n# Output of 'npm pack'\n*.tgz\n\n# Yarn Integrity file\n.yarn-integrity\n\n# dotenv environment variable files\n.env\n.env.development.local\n.env.test.local\n.env.production.local\n.env.local\n\n# parcel-bundler cache (https://parceljs.org/)\n.cache\n.parcel-cache\n\n# Next.js build output\n.next\nout\n\n# Nuxt.js build / generate output\n.nuxt\ndist\n\n# Gatsby files\n.cache/\n# Comment in the public line in if your project uses Gatsby and not Next.js\n# https://nextjs.org/blog/next-9-1#public-directory-support\n# public\n\n# vuepress build output\n.vuepress/dist\n\n# vuepress v2.x temp and cache directory\n.temp\n\n# Docusaurus cache and generated files\n.docusaurus\n\n# Serverless directories\n.serverless/\n\n# FuseBox cache\n.fusebox/\n\n# DynamoDB Local files\n.dynamodb/\n\n# TernJS port file\n.tern-port\n\n# Stores VSCode versions used for testing VSCode extensions\n.vscode-test\n\n# yarn v2\n.yarn/cache\n.yarn/unplugged\n.yarn/build-state.yml\n.yarn/install-state.gz\n.pnp.*\n\n### Node Patch ###\n# Serverless Webpack directories\n.webpack/\n\n# Optional stylelint cache\n\n# SvelteKit build / generate output\n.svelte-kit\n\n#!! ERROR: qwik is undefined. Use list command to see defined gitignore types !!#\n\n### react ###\n.DS_*\n**/*.backup.*\n**/*.back.*\n\nnode_modules\n\n*.sublime*\n\npsd\nthumb\nsketch\n\n#!! ERROR: solidjs is undefined. Use list command to see defined gitignore types !!#\n\n#!! ERROR: typescript is undefined. Use list command to see defined gitignore types !!#\n\n### VisualStudioCode ###\n.vscode/*\n!.vscode/settings.json\n!.vscode/tasks.json\n!.vscode/launch.json\n!.vscode/extensions.json\n!.vscode/*.code-snippets\n\n# Local History for Visual Studio Code\n.history/\n\n# Built Visual Studio Code Extensions\n*.vsix\n\n### VisualStudioCode Patch ###\n# Ignore all local history of files\n.history\n.ionide\n\n# End of https://www.toptal.com/developers/gitignore/api/node,macos,next,typescript,react,visualstudiocode,nextjs,solidjs,qwik,mitosis\nmodels\n*.mp4\n*.wav\nmodel\n*.mov\npostcss.config.js\npostcss.config.cjs\n" }, { "path": ".prettierrc", "content": "{\n \"printWidth\": 80\n}\n" }, { "path": "README.md", "content": "# `gen-subs`\n\nThis project uses on-device machine learning models to generate subtitles for your videos.\n\nhttps://github.com/TejasQ/gen-subs/assets/9947422/bc8df523-b62a-4123-a62d-2df17832e2ac\n\n## Features\n\n- 🔒 **Secure and offline** - All machine learning models are downloaded and run locally on your device. No data is sent to any server. There is zero dependency on OpenAI or other cloud services.\n- 🌐 **Multilingual** - Supports a wide variety of languages. Namely,\n | Languages | | |\n | --------- | --------- | --------- |\n | 🇺🇸 English | 🇮🇳 Indian English | 🇨🇳 Chinese |\n | 🇷🇺 Russian | 🇫🇷 French | 🇩🇪 German |\n | 🇪🇸 Spanish | 🇵🇹 Portuguese/Brazilian | 🇬🇷 Greek |\n | 🇹🇷 Turkish | 🇻🇳 Vietnamese | 🇮🇹 Italian |\n | 🇳🇱 Dutch | 🇪🇸 Catalan | 🇸🇦 Arabic |\n | 🇮🇷 Farsi | 🇵🇭 Filipino | 🇺🇦 Ukrainian |\n | 🇰🇿 Kazakh | 🇸🇪 Swedish | 🇯🇵 Japanese |\n | 🇪🇸 Esperanto | 🇮🇳 Hindi | 🇨🇿 Czech |\n | 🇵🇱 Polish | 🇺🇿 Uzbek | 🇰🇷 Korean |\n | 🇫🇷 Breton | | |\n- 🎨 **Customizable** - Choose from getting just an `srt` file, having the subtitles burned in to your video, and even embedding the subtitles in your video's metadata. You can also have **focus words** where the active word is highlighted in a different color.\n- 🎧 **Multi-modal** - Supports both audio and video files and generates subtitles for each.\n- 📊 **Multi-model** - Choose from a variety of machine learning models ranging from 40MB to >2GB in size. The larger the model, the more accurate the subtitles, but smaller models are also quite capable.\n\n## Usage\n\nYou can generate subtitles for any video using the following command:\n\n```bash\nnpx gen-subs for ./your/video.mp4\n```\n\nIf you run this for the first time, you will be required to download a machine learning model to generate your subtitles. This needs to be done at least one time. Then, the program will generate a `.srt` file in your current working directory containing the subtitles for your video.\n\n### Inaccuracies\n\nPlease note that you may get inaccurate results with the default, basic English model. This model is 40MB and is meant to be a quick way to get started. It's not very smart, so your mileage may vary. If you'd like more accurate results, you can download a larger model by running the following command:\n\n```bash\nnpx gen-subs models\n```\n\nThis will have you choose a language and then show you a collection of models, their sizes, and intended use cases (like podcasting, content, etc.). You can then choose a model and download it. Once downloaded, you can use it to generate subtitles for your video. You only download models once, and can remove them any time by running `npx gen-subs models purge`. You can also list all your downloaded models by running `npx gen-subs models ls`.\n\n### Other Languages\n\nYou can install a wide variety of models that can \"hear\" different languages. To generate subs for any language, follow these steps:\n\n1. First, install a model with `npx gen-subs models`. You will be asked to choose a language here.\n2. Then, run `npx gen-subs for ./your/video.mp4` to generate subtitles for your video, You will be asked which model to use.\n3. Enjoy!\n\n## API\n\nThis project has a few options that you can use to customize your subtitles. Let's enumerate them here. Each command comes after `npx gen-subs` and is followed by a list of options.\n\n| Command | Description |\n| ------------------------------------ | -------------------------------------------------------------------- |\n| `for ` | Generate subtitles for a given video or audio file. |\n| `models` | Manage models |\n| `models purge` | Delete all downloaded models. |\n| `models ls` | Show a list of all models downloaded to the system. |\n| `burn-in ` | Burns subtitles into the video and gives you a new video. |\n| `embed ` | Adds subtitles to the video's metadata but does not alter the video. |\n\n### `gen-subs for [media]`\n\n| Option | Description | Default |\n| ------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------- |\n| `-m, --model [modelName]` | The name of the machine learning model you'd like to use to generate subtitles. | `vosk-model-small-en-us-0.15` |\n| `-b, --burn-in` | Whether to layer subtitles atop the video (burn them in). | None |\n| `-e, --embed` | Whether to embed subtitles in the video's metadata. | None |\n| `-o, --out-dir [path]` | Where to output the subtitle and final video files. | `process.cwd()` |\n| `-f, --format [format]` | Choose between `srt` or `ass` formats. `ass` lets you do more cool stuff like focus words. (Default `srt`) | `srt` |\n| `-h --highlight [color]` | (`ass` subtitles only) Highlight the active word with a color. ⚠️ Use double quotes (`\"\"`) when entering hex codes into your terminal because `#` starts a comment! | `\"#048BA8\"` |\n\n## Contributing\n\nPlease feel free to open issues and pull requests as needed and I'll try to get to them as soon as possible.\n\n## Sustainability\n\nThis is all free and open source software. If it has helped you, please consider [sponsoring me on GitHub](https://github.com/sponsors/TejasQ) so I can make more stuff like this and teach about it full-time.\n" }, { "path": "actions/burnIn.ts", "content": "import { join } from \"path\";\nimport { burnInSubtitles } from \"../burnInSubtitles\";\nimport ora from \"ora\";\nimport { formatDuration } from \"../formatDuration\";\n\nexport async function burnInAction(video: string, subtitles: string) {\n const started = Date.now();\n const spinner = ora().start(\"Burning in subtitles...\");\n await burnInSubtitles(join(process.cwd(), video), join(process.cwd(), subtitles))\n spinner.succeed(`Subtitles burned in, took ${formatDuration(Date.now() - started)}.`);\n}" }, { "path": "actions/embed.ts", "content": "import { join } from \"path\";\nimport ora from \"ora\";\nimport { embedSubtitles } from \"../embedSubtitles\";\nimport { formatDuration } from \"../formatDuration\";\n\nexport async function embedAction(video: string, subtitles: string) {\n const started = Date.now();\n const spinner = ora().start(\"Embedding subtitles...\");\n await embedSubtitles(join(process.cwd(), video), join(process.cwd(), subtitles))\n spinner.succeed(`Subtitles embedded, took ${formatDuration(Date.now() - started)}.`);\n}" }, { "path": "actions/for.ts", "content": "import { join } from \"path\";\nimport { lstat, readdir, writeFile } from \"fs/promises\";\nimport { mkdirp } from \"mkdirp\";\nimport ora from \"ora\";\nimport inquirer from \"inquirer\";\n\nimport { splitFilePath } from \"../splitFilePath\";\nimport { formatSize, getModelDir, models, videoExtensions, workingDir } from \"../util\";\nimport { extractAudio } from \"../extractAudio\";\nimport { processAudio } from \"../processAudio\";\nimport { createTextFromAudioFile } from \"../createTextFromAudioFile\";\nimport { createSrtFromRecognitionResults } from \"../createSrtFromRecognitionResults\";\nimport { burnInSubtitles } from \"../burnInSubtitles\";\nimport { embedSubtitles } from \"../embedSubtitles\";\nimport { downloadFile, unzipFile } from \"../downloadAndUnzip\";\nimport { createAssFromRecognitionResults } from \"../createAssfromRecognitionResults\";\n\ntype Options = {\n outDir?: string;\n burnIn?: boolean;\n embed?: boolean;\n format?: \"srt\" | \"ass\"\n highlight?: string\n};\n\nexport async function forAction(relativeTarget: string, options: Options) {\n const target = relativeTarget.startsWith('/') ? relativeTarget : join(process.cwd(), relativeTarget);\n const { pathWithoutExtension, fileName } = splitFilePath(target);\n const format = (options.format ?? \"srt\").toLowerCase()\n\n const getOutputFile = (extension: string) =>\n options.outDir\n ? join(options.outDir, `${fileName}.${extension}`)\n : `${pathWithoutExtension}.${extension}`;\n const spinner = ora();\n spinner.start(\"Checking file...\");\n\n if (format !== 'ass' && options.highlight) {\n spinner.fail(\"The `highlight` option can only be used with `ass` format subtitles. Please use `-f ass` to set a highlight color.\");\n process.exit(1);\n }\n\n if (!target) {\n spinner.fail(\"Please specify a file path.\");\n process.exit(1);\n }\n\n try {\n await lstat(target);\n } catch {\n spinner.fail(`File does not exist at ${target}.`);\n process.exit(1);\n }\n\n const extension = target.split(\".\").pop();\n\n if (!extension) {\n spinner.fail(`File does not have an extension.`);\n process.exit(1);\n }\n\n const isVideo = videoExtensions.includes(extension)\n spinner.text = `Extension is ${extension}. Processing...`;\n let audioFilePath: string;\n\n if (!isVideo && options.burnIn) {\n spinner.fail(`You're trying to burn-in subtitles to a non-video file. Please only use -b with videos.`);\n process.exit(1);\n }\n\n if (isVideo) {\n spinner.text = \"Creating workspace...\";\n await mkdirp(join(workingDir, \"from-video\"));\n spinner.text = \"Converting to audio...\";\n audioFilePath = await extractAudio(target);\n } else {\n audioFilePath = target;\n }\n\n spinner.text = \"Processing audio...\";\n const processedAudioFilePath = await processAudio(audioFilePath);\n spinner.text = \"Checking available models...\"\n const availableModels = (await readdir(await getModelDir())).filter(dir => models.map(m => m.name).includes(dir));\n let model;\n\n spinner.stop();\n if (availableModels.length > 1) {\n const { selectedModel } = await inquirer.prompt([\n {\n type: \"list\",\n name: \"selectedModel\",\n message: \"Please choose a model. To download more models, please run `models`.\",\n choices: models.filter(m => availableModels.includes(m.name)).map(m => ({ name: `(${formatSize(m.size)}, ${m.language}) ${m.notes}`, value: m.name })),\n },\n ]);\n model = selectedModel;\n }\n\n if (availableModels.length === 1) {\n model = availableModels[0];\n }\n\n if (availableModels.length === 0) {\n const { shouldDownloadModel } = await inquirer.prompt([\n {\n type: \"confirm\",\n name: \"shouldDownloadModel\",\n message: \"You don't seem to have any models downloaded. Would you like to download a basic one? You can run `models` to see all available models and add more.\",\n },\n ]);\n if (shouldDownloadModel) {\n const modelPath = join(workingDir, \"models\", models[0].name);\n const zipFile = await downloadFile(models[0].url, modelPath, models[0].notes);\n spinner.start(\"Unzipping model...\");\n await unzipFile(zipFile, await getModelDir());\n spinner.succeed(\"Model downloaded.\");\n model = models[0].name;\n }\n }\n\n spinner.start(\"Loading model...\");\n const results = await createTextFromAudioFile(\n spinner,\n processedAudioFilePath,\n model\n );\n spinner.text = \"Creating subtitles...\";\n let subs;\n\n try {\n if (format === \"srt\") {\n subs = await createSrtFromRecognitionResults(results);\n } else {\n subs = createAssFromRecognitionResults(results, options.highlight);\n }\n } catch (e: any) {\n spinner.fail(e.message);\n process.exit(1);\n }\n\n spinner.succeed(\"Transcribed audio.\");\n await writeFile(getOutputFile(format), subs);\n spinner.succeed(`Subtitles created at ${getOutputFile(format)}`);\n\n\n if (options.embed) {\n spinner.start(\"Embedding subtitles into media...\");\n const result = await embedSubtitles(target, getOutputFile(format));\n spinner.succeed(\"File with embedded subtitles available at \" + result)\n }\n\n if (!isVideo) {\n process.exit(0);\n }\n\n if (options.burnIn) {\n spinner.start(\"Burning-in subtitles to video...\");\n const result = await burnInSubtitles(target, getOutputFile(format));\n spinner.succeed(\"File with burn-in subtitles available at \" + result)\n }\n\n spinner.succeed(\"Done.\");\n}\n" }, { "path": "actions/models.ts", "content": "import inquirer from \"inquirer\";\nimport ora from \"ora\";\nimport { rimraf } from \"rimraf\"\nimport { lstat } from \"fs/promises\";\nimport { join } from \"path\";\n\nimport { formatSize, getModelDir, isModelDownloaded, models, workingDir } from \"../util\";\nimport { downloadFile, unzipFile } from \"../downloadAndUnzip\";\n\nexport async function modelsAction() {\n const languages = new Set(models.map((model) => model.language));\n\n const choices = await Promise.all(models.map(async (model) => ({\n name: `(${formatSize(model.size)}) ${model.notes}`,\n value: model.name,\n checked: await isModelDownloaded(model.name),\n language: model.language,\n notes: model.notes,\n url: model.url,\n })));\n\n const { language } = await inquirer.prompt([\n {\n type: \"list\",\n name: \"language\",\n message: \"Please choose a language\",\n choices: Array.from(languages),\n }\n ]);\n\n const scopedChoices = choices.filter(c => c.language === language);\n const { desiredModels } = await inquirer.prompt([{\n type: \"checkbox\",\n name: \"desiredModels\",\n message: \"Here are your models\",\n choices: scopedChoices,\n }]);\n\n const spinner = ora().start(\"Processing models...\");\n for (const choice of scopedChoices) {\n if (!desiredModels.includes(choice.value)) {\n try {\n await rimraf(join(workingDir, \"models\", choice.value));\n } catch (e) {\n }\n continue;\n }\n const doesModelExist = await lstat(join(workingDir, \"models\", choice.value)).then(() => true).catch(() => false);\n if (!doesModelExist) {\n spinner.stop();\n const zipFilePath = await downloadFile(choice.url, join(workingDir, \"models\", choice.value), choice.notes);\n spinner.start(`Unzipping model ${choice.value}...`);\n await unzipFile(zipFilePath, await getModelDir());\n }\n }\n\n spinner.succeed(\"Models updated.\");\n}\n" }, { "path": "actions/modelsLs.ts", "content": "import { readdir } from \"fs/promises\";\nimport ora from \"ora\";\nimport { formatSize, getModelDir, models } from \"../util\";\n\nexport async function modelsLs() {\n const spinner = ora().start(\"Getting models...\");\n try {\n const modelsOnDisk = await readdir(await getModelDir())\n const filteredModels = modelsOnDisk.filter(model => models.find(m => m.name === model));\n\n if (!filteredModels.length) {\n spinner.succeed(\"No models available.\");\n process.exit(0);\n }\n\n spinner.succeed(\"Models available:\");\n console.log(filteredModels.map((model) => {\n const actualModel = models.find(m => m.name === model)!;\n return `- (${formatSize(actualModel.size)}, ${actualModel.language}) ${actualModel.notes}`\n }).join(\"\\n\"));\n process.exit(0);\n } catch {\n spinner.succeed(\"No models available.\");\n process.exit(0);\n }\n}" }, { "path": "actions/modelsPurge.ts", "content": "import ora from \"ora\";\nimport inquirer from \"inquirer\";\nimport { rimraf } from \"rimraf\";\nimport { getModelDir } from \"../util\";\n\nexport async function modelsPurgeAction() {\n const confirm = await inquirer.prompt([{\n type: \"confirm\",\n name: \"confirm\",\n message: \"Are you sure you want to purge all models?\",\n }]);\n\n if (!confirm.confirm) {\n process.exit(0);\n }\n\n const spinner = ora().start(\"Deleting models...\");\n await rimraf(await getModelDir());\n spinner.succeed(\"Models purged.\");\n}" }, { "path": "burnInSubtitles.ts", "content": "import ffmpeg from \"fluent-ffmpeg\";\nimport ffmpegInstaller from \"@ffmpeg-installer/ffmpeg\";\nimport { splitFilePath } from \"./splitFilePath\";\nimport { join } from \"path\";\n\nffmpeg.setFfmpegPath(ffmpegInstaller.path);\n\nexport function burnInSubtitles(filePath: string, subPath: string) {\n const { pathWithoutExtension } = splitFilePath(subPath);\n const { extension } = splitFilePath(filePath);\n const outFile = `${pathWithoutExtension}-with-burned-subs${extension}`;\n return new Promise((resolve, reject) => {\n ffmpeg(filePath)\n .videoFilter(\"subtitles=\" + subPath)\n .on(\"error\", function (err) {\n reject(err);\n })\n .save(outFile)\n .on(\"end\", function () {\n resolve(outFile);\n });\n });\n}\n" }, { "path": "cli.ts", "content": "#!/usr/bin/env node\n\nimport { program } from \"commander\";\nimport pkg from \"./package.json\";\nimport { forAction } from \"./actions/for\";\nimport { modelsAction } from \"./actions/models\";\nimport { modelsPurgeAction } from \"./actions/modelsPurge\";\nimport { modelsLs } from \"./actions/modelsLs\";\nimport { burnInAction } from \"./actions/burnIn\";\nimport { embedAction } from \"./actions/embed\";\n\nprogram.name(pkg.name).description(pkg.description).version(pkg.version);\n\nprogram\n .command(\"for \")\n .description(\"Generate subtitles for a given video or audio file.\")\n .option(\n \"-m, --model [modelName]\",\n \"The name of the machine learning model you'd like to use to generate subtitles.\",\n \"vosk-model-small-en-us-0.15\",\n )\n .option(\n \"-b, --burn-in\",\n \"Whether to layer subtitles atop the video (burn them in).\",\n false,\n )\n .option(\n \"-e, --embed\",\n \"Whether to embed subtitles in the video's metadata.\",\n false,\n )\n .option(\n \"-o, --out-dir [path]\",\n \"Where to output the subtitles file.\",\n process.cwd(),\n )\n .option(\n \"-f, --format [format]\",\n \"Choose between `srt` or `ass` formats. (Default `srt`)\",\n \"srt\",\n )\n .option(\n '-h --highlight [color]',\n \"(`ass` subtitles only) Highlight the active word with a color. (Default `#048BA8`)\",\n )\n .action(forAction);\n\nconst models = program\n .command(\"models\")\n .description(\"Manage models\")\n .action(modelsAction);\n\nmodels.command(\"purge\")\n .action(modelsPurgeAction)\n .description(\"Delete all downloaded models.\")\n\nmodels.command(\"ls\")\n .description(\n \"Show a list of all models downloaded to the system.\",\n )\n .action(modelsLs);\n\nprogram\n .command(\"burn-in