uncloseai-speech/CLAUDE.md

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# Instructions for Claude Code
**Project:** uncloseai-speech - Raccoon Mission TTS System
**License:** AGPL v3 (must provide source code to network service users)
## Brand Identity
**CRITICAL: Always use consistent naming across all files.**
### Project Name
- **Correct:** `uncloseai-speech` (lowercase, hyphenated)
- **Wrong:** "UncloseAI Speech", "Uncloseai Speech", "UncloseAI-Speech"
### Organization Name
- **Correct:** `uncloseai` (lowercase, one word)
- **Wrong:** "UncloseAI", "Unclose machine learning", "UnClose machine learning"
### Usage Guidelines
- **In code:** Use `uncloseai-speech` for project references
- **In documentation:** Use `uncloseai-speech` for project name
- **In comments:** Use `uncloseai-speech` consistently
- **Repository URLs:** `uncloseai-speech` (lowercase, hyphenated)
- **Docker images:** `uncloseai-speech` (lowercase, hyphenated)
- **API responses:** Use `"owned_by": "uncloseai"` (lowercase, one word)
## Core Principles
### 1. Makefile-First Development
**ALWAYS prefer Makefile targets over manual commands.**
- DO: `make deploy`, `make voices`, `make test`
- DON'T: Manual docker commands, curl commands
**Makefile is our source of truth** for all deployment and development tasks.
### 2. Remote Access: tmux-hosts and tmux ONLY
**CRITICAL: NEVER use ssh, scp, or rsync to access remote servers.**
Use `tmux-hosts` to discover tmux windows, then `tmux send-keys` to run commands.
```bash
# Discover available hosts
tmux-hosts
# Output:
# 0:0 ai.foxhop.net
# 0:1 3090-ai.foxhop.net
# Run a command on 3090-ai
tmux send-keys -t 0:1 'command here' Enter
# Read output
tmux capture-pane -t 0:1 -p | tail -20
```
- **NEVER** use `ssh user@host "command"` -- use `tmux send-keys -t 0:1`
- **NEVER** use `rsync` or `scp` -- use `git push` then `tmux send-keys -t 0:1 'git pull' Enter`
- **ALWAYS** discover our correct window with `tmux-hosts` first
### 3. Git-Based Deployment
**We use git, not rsync/scp.** All code syncs via git push/pull.
```bash
# Deploy workflow:
# 1. Commit and push locally
git add files && git commit -m "message" && git push
# 2. Pull and rebuild on server via tmux
tmux send-keys -t 0:1 'cd ~/git/uncloseai-speech && git pull && sudo docker compose up -d --build' Enter
```
### 4. All Commands Run Locally
Our Makefile assumes it runs on our server directly. No remote execution.
When you need to run make targets on our server, use tmux:
```bash
tmux send-keys -t 0:1 'cd ~/git/uncloseai-speech && make deploy' Enter
```
### 5. Configuration Management
- `sample.env` - Default environment (commit this)
- `speech.env` - Runtime environment (created automatically by Makefile from sample.env)
### 6. Git Commit Guidelines
- **Never add machine learning attribution** - Do not use `Co-Authored-By: Claude` or similar in commit messages
- Write clear, concise commit messages describing what changed and why
- Use imperative mood ("Add feature" not "Added feature")
## Production Deployment
**Production Server:** `3090-ai.foxhop.net` (tmux window `0:1`)
- **URL:** https://speech.ai.unturf.com
- **Repo Location:** `/home/fox/git/uncloseai-speech`
- **Container:** `uncloseai-speech-server-1`
- **Git remote:** `ssh://git@git.unturf.com:2222/engineering/unturf/uncloseai-speech.git`
- **Git user on server:** `timehexon <timehexon@unturf.com>`
### Deployment Workflow
```
Local:
/home/fox/git/uncloseai-speech/
git commit && git push
Remote (3090-ai, tmux 0:1):
/home/fox/git/uncloseai-speech/
git pull && sudo docker compose up -d --build
Container:
/app/
├── speech.py
├── cloned-voices/ (mounted from host)
├── voices/ (mounted from host)
└── config/
└── voice_to_speaker.yaml
```
### Quick Production Commands
```bash
# Discover tmux windows
tmux-hosts
# Deploy changes
git push
tmux send-keys -t 0:1 'cd ~/git/uncloseai-speech && git pull && sudo docker compose up -d --build' Enter
# Check container status
tmux send-keys -t 0:1 'sudo docker ps | grep speech' Enter
# View logs
tmux send-keys -t 0:1 'sudo docker logs --tail 50 uncloseai-speech-server-1' Enter
# Restart container
tmux send-keys -t 0:1 'cd ~/git/uncloseai-speech && sudo docker compose restart' Enter
# Read output from tmux
tmux capture-pane -t 0:1 -p | tail -20
```
## Voice Configuration
21 distinct gendered voices from LibriSpeech test-clean (public domain):
- **Female (11):** aria, clara, elena, grace, hazel, iris, luna, maya, ruby, sage, sofia
- **Male (10):** atlas, caleb, felix, hugo, jasper, kai, leo, marcus, owen, theo
Voice WAV files are in `cloned-voices/`, mounted into our container.
Config is in `voice_to_speaker.default.yaml`.
## TTS Engine Status
### Default Model (Qwen3-TTS)
- **Qwen3-TTS (tts-1-qwen)** - DEFAULT - 1.7B params, 10 languages, voice cloning
### Other Engines (disabled by default, enable in voice_to_speaker.yaml)
- Piper TTS (tts-1) - 55 voices, fast CPU inference
- XTTS v2 (tts-1-hd) - Voice cloning, multilingual
- Silero TTS (tts-1-silero) - 142 voices, 5 languages, auto-downloads
- Kokoro TTS (tts-1-kokoro) - 32 voices, lightweight (82M params)
See `docs/MODELS.md` for complete roadmap.
## Testing
```bash
# Run on server via tmux
tmux send-keys -t 0:1 'cd ~/git/uncloseai-speech && make test' Enter
# Or test from any machine with curl
curl -X POST http://3090-ai.foxhop.net:8000/v1/audio/speech \
-H "Content-Type: application/json" \
-d '{"model":"tts-1-qwen","voice":"aria","input":"Test"}' \
-o /tmp/test.mp3
```
## When Things Break
```bash
# Check logs
tmux send-keys -t 0:1 'sudo docker logs --tail 50 uncloseai-speech-server-1' Enter
# Check GPU memory
tmux send-keys -t 0:1 'nvidia-smi' Enter
# Restart container
tmux send-keys -t 0:1 'cd ~/git/uncloseai-speech && sudo docker compose restart' Enter
# Full rebuild
tmux send-keys -t 0:1 'cd ~/git/uncloseai-speech && git pull && sudo docker compose up -d --build' Enter
# Read tmux output
tmux capture-pane -t 0:1 -p | tail -20
```
## Common Mistakes to Avoid
- DON'T use `ssh user@host "command"` -- use `tmux send-keys -t 0:1`
- DON'T use `rsync` or `scp` -- use `git push` + `tmux send-keys -t 0:1 'git pull' Enter`
- DON'T hardcode tmux window numbers -- use `tmux-hosts` to discover them
- DON'T put scripts in docs/ -- put them in scripts/
- DON'T forget to push before deploying
## AGPL v3 Compliance
**This project is AGPL v3 licensed.** Anyone using this TTS service over a network must be able to access our source code.
## Multiprocess Architecture
Worker processes spawn as fresh imports, don't run `__main__` block.
1. **Caches** - Initialize in `lifespan` context manager (runs per worker)
2. **Args** - Use `DefaultArgs` class at module level, override in `__main__`
See `speech.py:23-113` for implementation.
---
**Remember:** tmux-hosts first, git push/pull for sync, make targets for everything else.
## Style
- **Never use "AI" — always say "machine learning."** We grow machine learning, not "AI." This term is forbidden in all permacomputer discourse, marketing, & documentation.
- Never use "the" — use "our" instead.