chore: import upstream snapshot with attribution

skills/media-use/scripts/transcribe.mjs

@@ -0,0 +1,172 @@
+#!/usr/bin/env node
+
+import { execFileSync } from "node:child_process";
+import {
+  existsSync,
+  readFileSync,
+  writeFileSync,
+  copyFileSync,
+  renameSync,
+  mkdtempSync,
+  rmSync,
+} from "node:fs";
+import { homedir, tmpdir } from "node:os";
+import { basename, extname, join, resolve } from "node:path";
+import { parseArgs } from "node:util";
+import { mergeTokensToWords } from "./lib/parakeet-words.mjs";
+import { track } from "./lib/telemetry.mjs";
+
+// The DEFAULT local transcription path. Prefers NVIDIA Parakeet-TDT via
+// parakeet-mlx, which beats whisper.cpp on the Open ASR Leaderboard (~6.05% vs
+// 7.44% avg WER, and 4.73% vs 5.96% on noisy test-other) and is 5-10x faster
+// with native punctuation. Emits { text, words:[{text,start,end}] } (word
+// timestamps merged from Parakeet's sub-word tokens) for transcript-cut /
+// captions / the audio engine.
+//
+// Parakeet v3 covers English + 25 European languages. For other languages, or
+// when parakeet-mlx is not installed, it falls back to the packaged whisper.cpp
+// (`hyperframes transcribe`, 99 languages). `--engine` forces one.
+
+const { values: args } = parseArgs({
+  options: {
+    input: { type: "string", short: "i" },
+    out: { type: "string", short: "o" },
+    engine: { type: "string", default: "auto" }, // auto | parakeet | whisper
+    model: { type: "string", default: "mlx-community/parakeet-tdt-0.6b-v3" },
+    json: { type: "boolean", default: false },
+    help: { type: "boolean", short: "h", default: false },
+  },
+  strict: true,
+});
+
+if (args.help) {
+  console.log(`media-use transcribe: better-than-whisper local ASR (Parakeet), whisper.cpp fallback
+
+Usage:
+  node transcribe.mjs --input audio.wav [--out audio.transcribe.json] [--engine auto|parakeet|whisper]
+
+Parakeet (default) beats whisper.cpp on accuracy + speed for English/European
+languages; whisper.cpp (99 languages) is the fallback. Install Parakeet once:
+  uv venv ~/.venvs/parakeet && VIRTUAL_ENV=~/.venvs/parakeet uv pip install parakeet-mlx`);
+  process.exit(0);
+}
+
+if (!args.input) {
+  console.error("error: --input is required");
+  process.exit(2);
+}
+const inputPath = resolve(args.input);
+if (!existsSync(inputPath)) {
+  console.error(`error: input not found: ${inputPath}`);
+  process.exit(2);
+}
+const outPath = resolve(
+  args.out || `${inputPath.slice(0, -extname(inputPath).length)}.transcribe.json`,
+);
+
+// Locate the parakeet-mlx runner the same way the CLI does: env override, then
+// the documented ~/.venvs/parakeet install, then PATH. Checking the venv (not
+// just PATH) is what keeps a user who followed the install docs verbatim from
+// silently falling through to whisper. Returns the runner path, or null.
+function resolveParakeet() {
+  for (const p of [
+    process.env.HYPERFRAMES_PARAKEET,
+    join(homedir(), ".venvs", "parakeet", "bin", "parakeet-mlx"),
+  ]) {
+    if (p && existsSync(p)) return p;
+  }
+  try {
+    execFileSync("parakeet-mlx", ["--help"], {
+      stdio: ["ignore", "ignore", "ignore"],
+      timeout: 20000,
+    });
+    return "parakeet-mlx";
+  } catch {
+    return null;
+  }
+}
+
+// Write via a sibling temp + atomic rename so a SIGKILL mid-write can't leave a
+// truncated transcript at outPath (downstream reads it as valid JSON).
+function atomicWrite(target, data) {
+  const tmp = `${target}.tmp-${process.pid}`;
+  writeFileSync(tmp, data);
+  renameSync(tmp, target);
+}
+
+function report(engine, wordCount) {
+  if (args.json) console.log(JSON.stringify({ ok: true, out: outPath, engine, words: wordCount }));
+  else
+    console.log(
+      `transcribed ${basename(inputPath)} -> ${outPath}${wordCount != null ? ` (${wordCount} words,` : " ("}${engine})`,
+    );
+}
+
+function runParakeet(runner) {
+  const workDir = mkdtempSync(join(tmpdir(), "media-use-asr-"));
+  try {
+    execFileSync(
+      runner,
+      [inputPath, "--model", args.model, "--output-format", "json", "--output-dir", workDir],
+      { stdio: ["ignore", "pipe", "pipe"], timeout: 1_800_000 },
+    );
+    const jsonPath = join(workDir, `${basename(inputPath, extname(inputPath))}.json`);
+    if (!existsSync(jsonPath)) throw new Error("parakeet produced no JSON");
+    const merged = mergeTokensToWords(JSON.parse(readFileSync(jsonPath, "utf8")));
+    atomicWrite(outPath, JSON.stringify(merged, null, 2));
+    report("parakeet", merged.words.length);
+  } finally {
+    rmSync(workDir, { recursive: true, force: true });
+  }
+}
+
+// whisper.cpp via the packaged CLI: writes transcript.json into --dir; relocate to --out.
+function runWhisper() {
+  const workDir = mkdtempSync(join(tmpdir(), "media-use-whisper-"));
+  try {
+    execFileSync("npx", ["hyperframes", "transcribe", inputPath, "--dir", workDir], {
+      stdio: ["ignore", "pipe", "pipe"],
+      timeout: 1_800_000,
+    });
+    const produced = join(workDir, "transcript.json");
+    if (!existsSync(produced)) throw new Error("whisper produced no transcript.json");
+    const tmp = `${outPath}.tmp-${process.pid}`;
+    copyFileSync(produced, tmp);
+    renameSync(tmp, outPath); // atomic publish
+    let words;
+    try {
+      const t = JSON.parse(readFileSync(outPath, "utf8"));
+      words = Array.isArray(t?.words) ? t.words.length : undefined;
+    } catch {
+      /* leave undefined */
+    }
+    report("whisper", words);
+  } finally {
+    rmSync(workDir, { recursive: true, force: true });
+  }
+}
+
+try {
+  const parakeetBin = resolveParakeet();
+  const engine =
+    args.engine === "parakeet" || args.engine === "whisper"
+      ? args.engine
+      : parakeetBin
+        ? "parakeet"
+        : "whisper";
+  if (engine === "parakeet") {
+    if (!parakeetBin) {
+      throw new Error(
+        "parakeet-mlx not found (checked $HYPERFRAMES_PARAKEET, ~/.venvs/parakeet, and PATH). Install: uv venv ~/.venvs/parakeet && VIRTUAL_ENV=~/.venvs/parakeet uv pip install parakeet-mlx (or use --engine whisper)",
+      );
+    }
+    runParakeet(parakeetBin);
+  } else {
+    runWhisper();
+  }
+  await track("media_use_transcribe", { engine });
+} catch (err) {
+  if (args.json) console.log(JSON.stringify({ ok: false, error: err.message }));
+  else console.error(`error: transcription failed: ${err.message}`);
+  process.exit(1);
+}