{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "tencent-hunyuan-auk--turn-free-form-request-into-auk-command",
 "repo": "Tencent-Hunyuan/AuK",
 "repo_url": "https://github.com/Tencent-Hunyuan/AuK",
 "repo_slug": "tencent-hunyuan-auk",
 "title": "Turn a plain-language request into a ready-to-run command",
 "page_title": "How to turn a plain-language request into a ready-to-run command with AuK",
 "summary": "Use Prompt Enhancer to convert a free-form audio request into a complete auk-infer command and manifest.",
 "who": "A team member who is not comfortable with the CLI flags and wants AuK to choose the task, duration, and preprocessing.",
 "problem": "Picking the right instruction, target duration, and audio preprocessing for each task is easy to get wrong by hand.",
 "outcome": "A printed auk-infer command, a detected task and target duration, and a JSON manifest under assets/after_pe/.",
 "steps": [
  "`uv venv --python 3.10`",
  "`source .venv/bin/activate`",
  "`uv pip install -e \".[gradio]\"`",
  "`set -a`",
  "`source ./.env`",
  "`set +a`",
  "`python src/auk/infer/pe.py --audio <input.wav> --instruction \"<plain-language request>\" --asr auto` (inferred, check the README)"
 ],
 "agent_prompt": "In the Tencent-Hunyuan/AuK repo, set the OpenAI-compatible LLM variables from .env, then run src/auk/infer/pe.py on <input.wav> with the request <plain-language request>. Verify that the printed auk-infer command and the JSON manifest under assets/after_pe/ are created, then run the printed command only after checking its output path.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "1.5 hours",
 "basis": "readme",
 "caveat": "The README says Prompt Enhancer uses the same LLM environment variables described above, but the variable names are not listed in the text provided, so check the repo docs before setup.",
 "category": "Content",
 "tags": [
  "Content"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 and uv or Conda",
  "A GPU with enough VRAM to run the model (CPU offload is CUDA only)",
  "Disk space and network access to download the AuK weights and the Qwen2.5-Omni-3B encoder from Hugging Face or ModelScope",
  "Source audio or a reference clip for tasks that need one"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "Prompt Enhancer reads OpenAI-compatible LLM settings from .env, so keep that file out of version control and do not paste the key into logs."
  }
 ],
 "best": false,
 "score": 0.6,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/tencent-hunyuan-auk/turn-free-form-request-into-auk-command/",
 "md": "https://dedupedai.com/use-cases/tencent-hunyuan-auk/turn-free-form-request-into-auk-command/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/tencent-hunyuan-auk--turn-free-form-request-into-auk-command.json",
 "api_version": "v1"
}