# lel

Python X11 transcription daemon that records audio, runs Whisper, logs the transcript, and can optionally run AI post-processing before injecting text.

## Requirements

- X11 (not Wayland)
- `ffmpeg`
- `faster-whisper`
- Tray icon deps: `gtk3`
- Python deps: `pillow`, `python-xlib`, `faster-whisper`, `PyGObject`

## Python Daemon

Install Python deps:

```bash
pip install -r requirements.txt
```

Run:

```bash
python3 src/leld.py --config ~/.config/lel/config.json
```

## Config

Create `~/.config/lel/config.json`:

```json
{
  "hotkey": "Cmd+m",
  "ffmpeg_input": "pulse:default",
  "ffmpeg_path": "",
  "whisper_model": "base",
  "whisper_lang": "en",
  "whisper_device": "cpu",
  "record_timeout_sec": 120,
  "injection_backend": "clipboard",

  "ai_enabled": true,
  "ai_model": "llama3.2:3b",
  "ai_temperature": 0.0,
  "ai_system_prompt_file": "",
  "ai_base_url": "http://localhost:11434/v1/chat/completions",
  "ai_api_key": "",
  "ai_timeout_sec": 20
}
```

Env overrides:

- `WHISPER_MODEL`, `WHISPER_LANG`, `WHISPER_DEVICE`
- `WHISPER_FFMPEG_IN`
- `LEL_RECORD_TIMEOUT_SEC`, `LEL_HOTKEY`, `LEL_INJECTION_BACKEND`
- `LEL_FFMPEG_PATH`
- `LEL_AI_ENABLED`, `LEL_AI_MODEL`, `LEL_AI_TEMPERATURE`, `LEL_AI_SYSTEM_PROMPT_FILE`
- `LEL_AI_BASE_URL`, `LEL_AI_API_KEY`, `LEL_AI_TIMEOUT_SEC`

## systemd user service

```bash
mkdir -p ~/.local/bin
cp src/leld.py ~/.local/bin/leld.py
cp systemd/lel.service ~/.config/systemd/user/lel.service
systemctl --user daemon-reload
systemctl --user enable --now lel
```

## Usage

- Press the hotkey once to start recording.
- Press it again to stop and transcribe.
- The transcript is logged to stderr.

Injection backends:

- `clipboard`: copy to clipboard and inject via Ctrl+Shift+V (GTK clipboard + XTest)
- `injection`: type the text with simulated keypresses (XTest)

AI provider:

- Generic OpenAI-compatible chat API at `ai_base_url`

Control:

```bash
make run
```