DEDUPED Hot AI repos, turned into use cases Get 5 a day

How to turn a plain-language request into a ready-to-run command with AuK

Use Prompt Enhancer to convert a free-form audio request into a complete auk-infer command and manifest.

  • Content
  • Advanced
  • 1.5 hours
  • From the README
  • Any agent

Authorization notice. AuK is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Credentials. 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.

Who it is forA team member who is not comfortable with the CLI flags and wants AuK to choose the task, duration, and preprocessing.

The problemPicking the right instruction, target duration, and audio preprocessing for each task is easy to get wrong by hand.

The outcomeA printed auk-infer command, a detected task and target duration, and a JSON manifest under assets/after_pe/.

What you need first

  • 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

Steps

  1. uv venv --python 3.10
  2. source .venv/bin/activate
  3. uv pip install -e ".[gradio]"
  4. set -a
  5. source ./.env
  6. set +a
  7. python src/auk/infer/pe.py --audio <input.wav> --instruction "<plain-language request>" --asr auto (inferred, check the README)

Prompt for your agent

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.

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.

Share: X LinkedIn Hacker News Email Copy link

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 The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong.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 [email protected] and we will look at it promptly. Full disclaimer page