aman/README.md

3.2 KiB

lel

Python X11 STT daemon that records audio, runs Whisper, and injects text. It can optionally run local AI post-processing before injection.

Requirements

  • X11 (Wayland support scaffolded but not available yet)
  • sounddevice (PortAudio)
  • faster-whisper
  • llama-cpp-python
  • Tray icon deps: gtk3, libayatana-appindicator3
  • Python deps (core): numpy, pillow, faster-whisper, llama-cpp-python, sounddevice
  • X11 extras: PyGObject, python-xlib

System packages (example names): portaudio/libportaudio2.

Ubuntu (X11)
sudo apt install -y portaudio19-dev libportaudio2 python3-gi gir1.2-gtk-3.0 libayatana-appindicator3-1
Debian (X11)
sudo apt install -y portaudio19-dev libportaudio2 python3-gi gir1.2-gtk-3.0 libayatana-appindicator3-1
Arch Linux (X11)
sudo pacman -S --needed portaudio gtk3 libayatana-appindicator
Fedora (X11)
sudo dnf install -y portaudio portaudio-devel gtk3 libayatana-appindicator-gtk3
openSUSE (X11)
sudo zypper install -y portaudio portaudio-devel gtk3 libayatana-appindicator3-1

Python Daemon

Install Python deps:

X11 (supported):

uv sync --extra x11

Wayland (scaffold only):

uv sync --extra wayland

Run:

uv run python3 src/leld.py --config ~/.config/lel/config.json

Config

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

{
  "daemon": { "hotkey": "Cmd+m" },
  "recording": { "input": "0" },
  "stt": { "model": "base", "device": "cpu" },
  "injection": { "backend": "clipboard" },
  "ai": { "enabled": true },
  "logging": { "log_transcript": false }
}

Recording input can be a device index (preferred) or a substring of the device name.

ai.enabled controls local cleanup. When enabled, the LLM model is downloaded on first use to ~/.cache/lel/models/ and uses the locked Llama-3.2-3B GGUF model.

logging.log_transcript controls whether recognized/processed text is written to logs. This is disabled by default. -v/--verbose also enables transcript logging and llama.cpp logs; llama logs are prefixed with llama::.

systemd user service

mkdir -p ~/.local/share/lel/src/assets
cp src/*.py ~/.local/share/lel/src/
cp src/assets/*.png ~/.local/share/lel/src/assets/
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 run STT.
  • Press Esc while recording to cancel without processing.
  • Transcript contents are logged only when logging.log_transcript is enabled or -v/--verbose is used.

Wayland note:

  • Running under Wayland currently exits with a message explaining that it is not supported yet.

Injection backends:

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

AI processing:

  • Local llama.cpp model only (no remote provider configuration).

Control:

make run
make check