Skip to main content

Offline voice assistant for controlling YouTube Music Desktop and Spotify

Project description

REX - Offline Voice-Controlled Music Assistant

PyPI version Python 3.10+ License: MIT

REX is a lightweight, streaming voice assistant that runs 100% locally - no cloud APIs, no subscriptions. Control your music with your voice and capture gaming moments hands-free.

Features:

  • Desktop UI - System tray icon, recognition HUD that flashes the matched command, settings dialog. No terminal needed.
  • Music Control - Play, pause, skip, search, and volume for YouTube Music Desktop or Spotify
  • App Launch - "open spotify", "close youtube music" — Rex finds installed apps via Windows' installed-apps catalog
  • Screen Clipping - Voice-activated clip saving with SteelSeries GG Moments ("clip that!")
  • Fast & Private - Whisper speech recognition runs locally on CPU or GPU
  • Low Latency - Early command detection means near-instant response

Quick Start

# 1. Install REX (choose one)
pipx install rex-voice-assistant    # Recommended: isolated environment
pip install rex-voice-assistant     # Or use pip directly

# 2. Run the setup wizard
rex setup

# 3. Start Rex into the system tray
rex            # tray UI (default)
rex-gui        # same, but launched windowless (no terminal pops) — pin this to Start menu
rex --console  # old in-terminal behavior, useful for debugging

The setup wizard will guide you through configuring your music service and GPU acceleration.

After rex starts, look in your system tray for the Rex icon. Right-click for Settings, Pause Listening, Restart Rex, Launch at Windows startup, and Quit. Recognized commands flash a transient HUD in the bottom-right of the active monitor.

The Launch at Windows startup toggle drops a shortcut into your Windows Startup folder, so REX boots into the tray with no terminal. The entry also appears under Settings → Apps → Startup if you prefer to manage it from there.


Tech Stack

Stage Tech What it does
Audio capture sounddevice (PortAudio) Streams 16 kHz mono PCM from the default mic
Voice activity Silero VAD (PyTorch, TorchScript) Groups frames into utterances
Transcription Faster-Whisper (CTranslate2 backend) Speech to text on CPU or CUDA
Command routing Regex matcher (rex_main/matcher.py) Maps recognized text to handlers
Media control YTMusic Desktop Companion API / Spotipy Sends actions to YTMD or Spotify
Config & secrets ~/.rex/config.yaml + keyring Configuration and secure secret storage

CLI Commands

rex              # Start Rex (tray UI by default)
rex-gui          # Same as rex, but no terminal window — pin this to Start menu / Taskbar
rex --console    # Console mode (in-terminal, useful for debugging or headless boxes)
rex setup        # Interactive setup wizard
rex settings     # Change model, services, and integrations
rex status       # Show configuration and service connectivity
rex test ytmd    # Test YouTube Music Desktop connection
rex test spotify # Test Spotify connection
rex dashboard    # Run metrics dashboard standalone
rex record-wake-samples  # Record audio for training a custom wake word
rex package-wake-samples # Bundle your recordings into a .zip to send to a trainer
rex migrate --from-env  # Import settings from .env file

Options for rex command:

--console       Run in console mode (no tray UI). Useful for debugging or headless environments.
--model         Whisper model (tiny|base|small|medium|large, default: small.en)
--device        Force device (cuda|cpu, default: auto)
--beam          Beam size for decoding (default: 1)
--log-file      Path to log file
--debug         Enable verbose logging
--dashboard     Enable metrics dashboard at http://localhost:8080
--low-latency   Low-latency mode (default, 250ms VAD timeout)
--standard      Standard mode (400ms VAD timeout, more forgiving for slower speech)
--wake-word     Require wake word before commands fire (on by default)
--no-wake-word  Disable the wake-word gate
--wake-model    Wake-word model: 'hey_rex', 'hey_jarvis', or path to custom .onnx
--gaming        Preset: tiny.en + CPU + hey_rex + low latency (frees the GPU)

Prerequisites

Windows 10/11

  1. Python 3.10+ (tested with 3.12)

    winget install Python.Python.3.12
    
  2. A microphone - Any USB or built-in microphone will work

  3. Optional: NVIDIA GPU for 5-10x faster transcription

    • Recent NVIDIA driver (no manual CUDA installation needed)
    • The setup wizard will offer to install CUDA PyTorch automatically

Media Service Setup

YouTube Music Desktop (YTMD)

  1. Install YTMD: https://ytmdesktop.app
  2. In YTMD Settings, enable:
    • "Companion server"
    • "Allow browser communication"
    • "Enable companion authorization"
  3. Run rex setup and follow the prompts to authenticate

Spotify

  1. Create an app at https://developer.spotify.com/dashboard
  2. Set Redirect URI to http://127.0.0.1:8888/callback
  3. Run rex setup and enter your Client ID and Secret

Voice Commands

Phrase (examples) Action
"play music", "stop music" Play/pause
"next", "last/previous", "restart" Track navigation
"volume up/down", "volume N" Volume control
"search by " Play first search hit
"switch to spotify" Switch backend to Spotify
"switch to youtube music" Switch backend to YTMD
"like", "dislike" Thumbs up/down current track
"clip that", "save clip" Save clip (SteelSeries GG)
"open spotify", "open youtube music" Launch the desktop app
"close spotify", "close youtube music" Force-close the app
"fullscreen", "captions", "theater" Toggle YouTube video display (YTVD)
"speed 1.5", "playback speed 2" Set YouTube video playback rate (YTVD)
"skip ahead 10", "rewind 30" Seek ± seconds in active playback (YTVD)
"youtube search cat videos" Search YouTube on the video view (YTVD)
"go to subscriptions", "show library" Navigate the YouTube video view (YTVD)

Add custom commands by editing rex_main/matcher.py and rex_main/commands.py.

SteelSeries Moments (Screen Clipping)

REX integrates with SteelSeries GG Moments for hands-free clip saving during gameplay. Just say "clip that" and REX triggers a clip save via the GameSense SDK.

Setup:

  1. Install SteelSeries GG and enable Moments screen recording
  2. Run rex setup - it will auto-detect and register REX with GameSense
  3. Enable REX in SteelSeries GG:
    • Open GG → Settings (gear icon, bottom left)
    • Find "Moments" section → "Auto-clip" tab
    • Enable "Auto-clipping" at the top
    • Scroll down and check "REX Voice Assistant"

Voice triggers: "clip that", "capture that", "record that", "save clip"


Wake Word ("Hey Rex")

REX is gated behind a wake word by default — it only acts on commands within a short window after hearing "hey rex". The custom hey_rex model auto-downloads from Hugging Face (~200 KB) on first run. To turn the gate off, use --no-wake-word or set wake_word.enabled: false in your config.

Config knobs (~/.rex/config.yaml):

wake_word:
  enabled: true                  # Master switch (default true)
  model: "hey_rex"               # Default model. Also: "hey_jarvis" or a file path
  threshold: 0.5                 # 0.0-1.0; raise to reduce false fires
  listening_window_seconds: 6    # Commands accepted for N seconds after wake
  debounce_seconds: 1.0          # Min gap between consecutive fires
  cue_enabled: true              # Play a short tone on wake

The listening window auto-extends each time a command fires, so multi-step interactions ("hey rex" → "play music" → "volume up") work without re-waking.

Custom wake word ("hey rex" or anything else)

You can train a model on your own voice and any phrase you want. See TRAINING_HEY_REX.md for the conceptual walkthrough, or TRAINING_RERUN.md for the field-tested speed-run recipe (every gotcha pre-solved). Record ~100 samples with rex record-wake-samples, run the openWakeWord training pipeline (~1 hour on a recent NVIDIA GPU), drop the resulting .onnx into ~/.rex/wake_models/, and point your config at it:

wake_word:
  enabled: true
  model: ~/.rex/wake_models/hey_rex.onnx

The setup wizard auto-discovers any .onnx files in ~/.rex/wake_models/ and offers to switch.

Multi-speaker training (recommended): if you can recruit 3–5 people to each contribute ~100 recordings, the resulting model will generalize across voices much better than a single-speaker model. The contributor flow is non-coder-friendly:

  • Send your friends CONTRIBUTING_VOICE_SAMPLES.md — it walks them through installing REX, recording 100 samples, and packaging the result into a single .zip to send back.
  • They run rex record-wake-samples (which prompts for their name) and rex package-wake-samples (which produces a labeled zip).
  • You merge the zips into ~/.rex/wake_training/recordings/ and train. See TRAINING_HEY_REX.md Phase 4 for the merge step.

Gaming Mode

For gaming, REX has a one-flag preset that frees up the GPU and minimizes overhead while keeping you responsive:

rex --gaming

This is equivalent to:

rex --model tiny.en --device cpu --wake-word --low-latency

Why these defaults:

Setting Why
tiny.en model ~80 ms CPU transcription — fast enough for early-match to fire before the silence-flush deadline. small.en/medium.en on CPU run 300 ms–4 s, which causes early matches to be missed.
cpu device Frees ~2.5 GB VRAM and 100% of GPU compute for the game.
--wake-word Prevents in-game chat from triggering REX.
--low-latency 250 ms VAD silence cutoff (the default already, but pinned for clarity).

Tradeoff: tiny.en is less accurate than small.en. If you find it misrecognizing your commands, bump the model:

rex --gaming --model base.en   # ~150 ms on CPU, more accurate

Individual flags always win over --gaming, so you can override any single piece.

Mode comparison:

Mode Model Device Wake E2E latency VRAM
Default small.en cuda (auto) off ~250 ms ~2.5 GB
--gaming tiny.en cpu on ~150 ms 0
--standard small.en cuda off ~400 ms ~2.5 GB

Configuration

REX stores configuration in ~/.rex/:

~/.rex/
  config.yaml     # Main configuration
  secrets.yaml    # Fallback secret storage (if keyring unavailable)
  logs/           # Log files
  models/         # Cached Whisper models

Environment Variable Overrides

Variable Description
REX_MODEL Override Whisper model
REX_DEVICE Force CPU/GPU (cpu/cuda)
REX_SERVICE Active service (ytmd/spotify/none)
YTMD_TOKEN YTMD authorization token
YTMD_HOST YTMD host (default: localhost)
YTMD_PORT YTMD port (default: 9863)
SPOTIPY_CLIENT_ID Spotify client ID
SPOTIPY_CLIENT_SECRET Spotify client secret
SPOTIPY_REDIRECT_URI Spotify OAuth redirect URI

Troubleshooting

No audio input detected:

  • Check Windows sound settings for default microphone
  • Run rex status to see detected audio device
  • Try running rex setup and use the audio test

YTMD connection errors:

  • Run rex test ytmd to check connectivity
  • Verify Companion Server is enabled in YTMD settings
  • Re-run rex setup to get a new token

Spotify device not found:

  • Open the Spotify desktop app before running REX
  • Run rex test spotify to check connection
  • Re-authenticate if needed

CUDA not being used:

  • Run rex setup - it will detect your GPU and offer to install CUDA PyTorch
  • Or manually install: pipx runpip rex-voice-assistant install torch --index-url https://download.pytorch.org/whl/cu124 --force-reinstall
  • Verify: rex should auto-detect and log "CUDA detected, using GPU acceleration"

Development

# Clone and install in development mode
git clone https://github.com/David-Antolick/rex_voice_assistant.git
cd rex_voice_assistant
pip install -e ".[dev]"

# Run tests
pytest

# Run directly
python -m rex_main.rex --debug

Roadmap

  • Command history / log viewer in the desktop UI
  • Microphone test panel + push-to-talk binding capture in Settings
  • Per-app voice profiles (different command sets when a given window is focused)
  • Spacebar/Fermi voice-chat backend (replacement for the removed Discord integration)
  • See docs/UI_PLAN.md for the full UI vision (v1 / v1.x / v2)

Contributing

PRs welcome. Please keep changes small and document new config flags in this README. For larger features, open an issue to discuss design.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rex_voice_assistant-1.3.0.tar.gz (126.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rex_voice_assistant-1.3.0-py3-none-any.whl (135.3 kB view details)

Uploaded Python 3

File details

Details for the file rex_voice_assistant-1.3.0.tar.gz.

File metadata

  • Download URL: rex_voice_assistant-1.3.0.tar.gz
  • Upload date:
  • Size: 126.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for rex_voice_assistant-1.3.0.tar.gz
Algorithm Hash digest
SHA256 3b47818f2ecf07a67f12496feb1fb9c2c1cdbc38d3921593e846be8deb46998c
MD5 f572679d10134805e7148645f3e3aa23
BLAKE2b-256 a3907fb083c64316f37d9017a7d29199d7d2abc29063612419a6a4535b0dd746

See more details on using hashes here.

Provenance

The following attestation bundles were made for rex_voice_assistant-1.3.0.tar.gz:

Publisher: publish.yml on David-Antolick/REX_voice_assistant

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file rex_voice_assistant-1.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for rex_voice_assistant-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 385365b85b7bb1090b3951db60c4d653b920e380ac3bf575d1a54f623e558567
MD5 d41eed05c6725c0b80e8ba6158f1d6a3
BLAKE2b-256 4023a28799e045b084500a800de41eebb412a13fc03ebfcdfe557185b9f538fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for rex_voice_assistant-1.3.0-py3-none-any.whl:

Publisher: publish.yml on David-Antolick/REX_voice_assistant

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page