Add HyperFrames skills (from heygen-com/hyperframes, Apache-2.0)

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FXVsD1DgdzZLiPuwtKzMSY
2026-10-21 23:18:32 +00:00
1 parent 3e3f41ee5f
commit daac216bb9
@@ -0,0 +1,194 @@
+#!/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, stripVTControlCharacters } from "node:util";
+import { mergeTokensToWords } from "./lib/parakeet-words.mjs";
+import { track } from "./lib/telemetry.mjs";
+import { resolveNpxInvocation } from "./lib/npx-sync.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 whisper.cpp via
+// `hyperframes transcribe` (99 languages; the CLI resolves/builds whisper.cpp
+// on first use — it is not bundled). `--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:
+  npx hyperframes models install parakeet   (macOS, Windows, Linux with glibc 2.32+)
+  uv venv ~/.venvs/parakeet && VIRTUAL_ENV=~/.venvs/parakeet uv pip install parakeet-mlx   (Apple Silicon)`);
+  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, `${basename(inputPath, extname(inputPath))}.json`);
+    if (!existsSync(jsonPath)) throw new Error("parakeet produced no JSON");
+    const merged = mergeTokensToWords(JSON.parse(readFileSync(jsonPath, "utf8")));
+    atomicWrite(outPath, JSON.stringify(merged, null, 2));
+    report("parakeet", merged.words.length);
+  } finally {
+    rmSync(workDir, { recursive: true, force: true });
+  }
+}
+
+// The hyperframes CLI (its Parakeet, else whisper.cpp built on first use — see
+// SKILL.md): writes transcript.json into --dir; relocate to --out.
+function runCli(cliEngine) {
+  const workDir = mkdtempSync(join(tmpdir(), "media-use-whisper-"));
+  try {
+    // On Windows a bare "npx" is npx.cmd, which execFileSync cannot exec
+    // (spawnSync npx ENOENT) — resolveNpxInvocation reroutes it through
+    // node + npx-cli.js (and throws actionably when it can't), same
+    // mechanism as the audio engine's TTS spawns.
+    // Under auto or parakeet the CLI may run its own Parakeet; --json says which engine ran.
+    const resolved = resolveNpxInvocation(
+      ["hyperframes", "transcribe", inputPath, "--dir", workDir, "--engine", cliEngine, "--json"],
+      { stdio: ["ignore", "pipe", "pipe"], timeout: 1_800_000 },
+    );
+    let stdout;
+    try {
+      stdout = String(execFileSync(resolved.cmd, resolved.args, resolved.opts));
+    } catch (e) {
+      // stderr holds spinner redraws and --json prints the reason on stdout, so keep the last lines.
+      const tail = stripVTControlCharacters(`${e.stderr ?? ""}\n${e.stdout ?? ""}`)
+        .split(/[\r\n]+/)
+        .map((l) => l.trim())
+        .filter((l) => l && l !== "│")
+        .slice(-3)
+        .join("\n");
+      throw new Error(
+        `hyperframes transcribe failed (exit ${e.status ?? e.code})${tail ? `:\n${tail}` : ""}`,
+      );
+    }
+    const produced = join(workDir, "transcript.json");
+    if (!existsSync(produced))
+      throw new Error("hyperframes transcribe produced no transcript.json");
+    const tmp = `${outPath}.tmp-${process.pid}`;
+    copyFileSync(produced, tmp);
+    renameSync(tmp, outPath); // atomic publish
+    let words;
+    try {
+      const t = JSON.parse(readFileSync(outPath, "utf8"));
+      // The CLI writes a flat word array, not { words }.
+      words = Array.isArray(t) ? t.length : undefined;
+    } catch {
+      /* leave undefined */
+    }
+    let ran = "whisper";
+    try {
+      ran = JSON.parse(stdout.trim().split("\n").at(-1)).engine === "parakeet" ? "parakeet" : ran;
+    } catch {
+      /* no JSON line: keep whisper */
+    }
+    report(ran, words);
+    return ran;
+  } finally {
+    rmSync(workDir, { recursive: true, force: true });
+  }
+}
+
+try {
+  const parakeetBin = resolveParakeet();
+  const asked = args.engine === "parakeet" || args.engine === "whisper" ? args.engine : "auto";
+  // Without parakeet-mlx, the CLI's own Parakeet (any OS, `hyperframes models install parakeet`).
+  let engine = "parakeet";
+  if (asked !== "whisper" && parakeetBin) runParakeet(parakeetBin);
+  else engine = runCli(asked);
+  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);
+}