97 lines
2.6 KiB
JavaScript
Executable File
97 lines
2.6 KiB
JavaScript
Executable File
#!/usr/bin/env zx
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import axios from "axios";
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import progress from "progress";
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import { createHash } from "crypto";
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const model = "ggml-base.en-q5_1.bin";
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const md5 = "55309cc6613788f07ac7988985210734";
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const dir = path.join(process.cwd(), "lib/whisper.cpp/models");
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console.info(chalk.blue(`=> Download whisper model ${model}`));
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fs.ensureDirSync(dir);
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try {
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if (fs.statSync(path.join(dir, model)).isFile()) {
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console.info(chalk.green(`✅ Model ${model} already exists`));
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const hash = await hashFile(path.join(dir, model), { algo: "md5" });
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if (hash === md5) {
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console.info(chalk.green(`✅ Model ${model} valid`));
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process.exit(0);
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} else {
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console.error(
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chalk.red(`❌ Model ${model} not valid, start to redownload`)
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);
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fs.removeSync(path.join(dir, model));
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}
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}
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} catch (err) {
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if (err && err.code !== "ENOENT") {
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console.error(chalk.red(`❌ Error: ${err}`));
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process.exit(1);
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} else {
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console.info(chalk.blue(`=> Start to download model ${model}`));
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}
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}
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const proxyUrl =
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process.env.HTTPS_PROXY ||
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process.env.https_proxy ||
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process.env.HTTP_PROXY ||
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process.env.http_proxy;
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if (proxyUrl) {
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const { hostname, port, protocol } = new URL(proxyUrl);
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axios.defaults.proxy = {
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host: hostname,
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port: port,
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protocol: protocol,
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};
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}
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const modelUrlPrefix =
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"https://huggingface.co/ggerganov/whisper.cpp/resolve/main";
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function hashFile(path, options) {
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const algo = options.algo || "md5";
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return new Promise((resolve, reject) => {
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const hash = createHash(algo);
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const stream = fs.createReadStream(path);
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stream.on("error", reject);
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stream.on("data", (chunk) => hash.update(chunk));
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stream.on("end", () => resolve(hash.digest("hex")));
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});
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}
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const download = async (url, dest) => {
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return axios
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.get(url, { responseType: "stream" })
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.then((response) => {
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const totalLength = response.headers["content-length"];
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const progressBar = new progress(`-> downloading [:bar] :percent :etas`, {
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width: 40,
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complete: "=",
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incomplete: " ",
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renderThrottle: 1,
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total: parseInt(totalLength),
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});
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response.data.on("data", (chunk) => {
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progressBar.tick(chunk.length);
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});
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response.data.pipe(fs.createWriteStream(dest)).on("close", () => {
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console.info(chalk.green(`✅ Model ${model} downloaded successfully`));
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process.exit(0);
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});
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})
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.catch((err) => {
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console.error(chalk.red(`❌ Error: ${err}`));
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process.exit(1);
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});
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};
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await download(`${modelUrlPrefix}/${model}`, path.join(dir, model));
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