| from pathlib import Path | |
| md = """# LLM Handoff: What the User Is Asking to Achieve (ACE-Step 1.5 on Hugging Face) | |
| ## Primary Goal | |
| Deploy **ACE-Step 1.5** as a usable music-generation service on Hugging Face, then call it from scripts/app code. | |
| --- | |
| ## User Intent (Condensed) | |
| The user wants to: | |
| 1. **Host ACE-Step 1.5 on Hugging Face** (not just local test). | |
| 2. Use a **private token-protected endpoint**. | |
| 3. Run on **GPU (preferably A100)**. | |
| 4. Configure **aggressive cost controls** (scale-to-zero, pause when not in use). | |
| 5. Build a working **`handler.py`** that: | |
| - loads the real model, | |
| - accepts generation inputs (`prompt`, `lyrics`, etc.), | |
| - returns generated audio as base64 WAV. | |
| 6. Have a clear **request format** and **test scripts** to generate audio. | |
| 7. Produce docs so another LLM in Cursor can continue implementation without losing context. | |
| --- | |
| ## What the User Specifically Asked For in Chat | |
| - Step-by-step setup for: | |
| - repo creation on HF, | |
| - pushing code, | |
| - connecting endpoint to repo, | |
| - testing endpoint calls. | |
| - Clarification on: | |
| - token permissions, | |
| - whether ZeroGPU can be used, | |
| - where “Inference Endpoints → New” is in HF UI. | |
| - Confirmation on billing behavior: | |
| - paused endpoint billing, | |
| - scale-to-zero behavior. | |
| - Conversion of test call into runnable scripts: | |
| - `.bat` / `.ps1` for Windows. | |
| - Upgrade from **sine-wave smoke test** to **actual ACE-Step inference** in `handler.py`. | |
| - A consolidated markdown handoff for LLM continuation. | |
| --- | |
| ## Current Technical Direction (Expected by User) | |
| ### Deployment Architecture | |
| - Use **custom endpoint repo** (not direct one-click deployment from model card). | |
| - Repo should contain: | |
| - `handler.py` | |
| - `requirements.txt` | |
| - optional `README.md` | |
| ### Endpoint Behavior | |
| - Private endpoint (HF token required). | |
| - Input JSON under `inputs`. | |
| - Output JSON includes `audio_base64_wav`. | |
| ### Minimum Input Contract | |
| ```json | |
| { | |
| "inputs": { | |
| "prompt": "upbeat pop rap with emotional guitar", | |
| "lyrics": "[Verse] city lights and midnight rain", | |
| "duration_sec": 12, | |
| "sample_rate": 44100, | |
| "seed": 42, | |
| "guidance_scale": 7.0, | |
| "steps": 50, | |
| "use_lm": true | |
| } | |
| } | |