80 lines
1.6 KiB
Markdown
80 lines
1.6 KiB
Markdown
# lel
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Python X11 STT daemon that records audio, runs Whisper, logs the transcript, and can optionally run AI post-processing before injecting text.
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## Requirements
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- X11 (not Wayland)
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- `sounddevice` (PortAudio)
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- `faster-whisper`
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- Tray icon deps: `gtk3`, `libayatana-appindicator3`
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- Python deps: `pillow`, `python-xlib`, `faster-whisper`, `PyGObject`, `sounddevice`
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System packages (example names): `portaudio`/`libportaudio2`.
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## Python Daemon
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Install Python deps:
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```bash
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uv sync
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```
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Run:
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```bash
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uv run python3 src/leld.py --config ~/.config/lel/config.json
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```
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## Config
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Create `~/.config/lel/config.json`:
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```json
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{
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"daemon": { "hotkey": "Cmd+m" },
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"recording": { "input": "0" },
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"stt": { "model": "base", "device": "cpu" },
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"injection": { "backend": "clipboard" },
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"ai_cleanup": {
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"model": "llama3.2:3b",
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"base_url": "http://localhost:11434",
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"api_key": ""
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}
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}
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```
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Recording input can be a device index (preferred) or a substring of the device
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name.
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## systemd user service
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```bash
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mkdir -p ~/.local/bin
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cp src/leld.py ~/.local/bin/leld.py
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cp systemd/lel.service ~/.config/systemd/user/lel.service
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systemctl --user daemon-reload
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systemctl --user enable --now lel
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```
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## Usage
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- Press the hotkey once to start recording.
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- Press it again to stop and run STT.
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- The transcript is logged to stderr.
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Injection backends:
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- `clipboard`: copy to clipboard and inject via Ctrl+Shift+V (GTK clipboard + XTest)
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- `injection`: type the text with simulated keypresses (XTest)
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AI provider:
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- Generic OpenAI-compatible chat API at `ai_base_url` (base URL only; the app uses `/v1/chat/completions`)
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Control:
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```bash
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make run
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```
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