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AI-powered assistant to help you with your daily tasks, powered by Llama 3.2. It can recognize your voice, process natural language, and perform various actions based on your commands: summarizing text, rephasing sentences, answering questions, writing emails, and more.

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Llama Assistant

🌟 Llama Assistant 🌟

Local AI Assistant That Respects Your Privacy! πŸ”’

Website: llama-assistant.nrl.ai

Llama Assistant

Python Llama 3 License Version Stars Forks Issues Downloads Downloads

Llama Assistant - Local AI Assistant That Respects Your Privacy! πŸ”’ | Product Hunt

AI-powered assistant to help you with your daily tasks, powered by Llama 3.2. It can recognize your voice, process natural language, and perform various actions based on your commands: summarizing text, rephrasing sentences, answering questions, writing emails, and more.

This assistant can run offline on your local machine, and it respects your privacy by not sending any data to external servers.

Screenshot

Llama.Assistant.-.Local.AI.Assistant.That.Respects.Your.Privacy.720p.mp4

Settings

Supported Models

TODO

  • πŸ–ΌοΈ Support multimodal model: moondream2.
  • πŸ—£οΈ Add wake word detection: "Hey Llama!".
  • πŸ› οΈ Custom models: Add support for custom models.
  • πŸ“š Support 5 other text models.
  • πŸ–ΌοΈ Support 5 other multimodal models.
  • ⚑ Streaming support for response.
  • πŸŽ™οΈ Add offline STT support: WhisperCPP.
  • 🧠 Knowledge database: LlamaIndex
  • πŸ”Œ Plugin system for extensibility.
  • πŸ“° News and weather updates.
  • πŸ“§ Email integration with Gmail and Outlook.
  • πŸ“ Note-taking and task management.
  • 🎡 Music player and podcast integration.
  • πŸ€– Workflow with multiple agents.
  • 🌐 Multi-language support: English, Spanish, French, German, etc.
  • πŸ“¦ Package for Windows, Linux, and macOS.
  • πŸ”„ Automated tests and CI/CD pipeline.

Features

  • πŸŽ™οΈ Voice recognition for hands-free interaction.
  • πŸ’¬ Natural language processing with Llama 3.2.
  • πŸ–ΌοΈ Image analysis capabilities (TODO).
  • ⚑ Global hotkey for quick access (Cmd+Shift+Space on macOS).
  • 🎨 Customizable UI with adjustable transparency.

Note: This project is a work in progress, and new features are being added regularly.

Technologies Used

  • Python
  • Llama
  • SpeechRecognition
  • yt

Installation

Recommended Python Version: 3.10.

Install PortAudio:

Install `PortAudio`_. This is required by the `PyAudio`_ library to stream audio from your computer's microphone. PyAudio depends on PortAudio for cross-platform compatibility, and is installed differently depending on the platform.
  • For Mac OS X, you can use Homebrew_::

    brew install portaudio
    

    Note: if you encounter an error when running pip install that indicates it can't find portaudio.h, try running pip install with the following flags::

    pip install --global-option='build_ext' \
        --global-option='-I/usr/local/include' \
        --global-option='-L/usr/local/lib' \
        pyaudio
    
  • For Debian / Ubuntu Linux::

    apt-get install portaudio19-dev python3-all-dev
    
  • Windows may work without having to install PortAudio explicitly (it will get installed with PyAudio).

For more details, see the PyAudio installation_ page.

.. _PyAudio: https://people.csail.mit.edu/hubert/pyaudio/ .. _PortAudio: http://www.portaudio.com/ .. _PyAudio installation: https://people.csail.mit.edu/hubert/pyaudio/#downloads .. _Homebrew: http://brew.sh

On Windows: Installing the MinGW-w64 toolchain

- Download and install with instructions from [here](https://code.visualstudio.com/docs/cpp/config-mingw). - Direct download link: [MinGW-w64](https://github.com/msys2/msys2-installer/releases/download/2024-01-13/msys2-x86_64-20240113.exe).

Install from PyPI:

pip install pyaudio
pip install git+https://github.com/stlukey/whispercpp.py
pip install llama-assistant

Or install from source:

  1. Clone the repository:
git clone https://github.com/nrl-ai/llama-assistant.git
cd llama-assistant
  1. Install the required dependencies and install the package:
pip install pyaudio
pip install git+https://github.com/stlukey/whispercpp.py
pip install -r requirements.txt
pip install .

Speed Hack for Apple Silicon (M1, M2, M3) users: πŸ”₯πŸ”₯πŸ”₯

  • Install Xcode:
# check the path of your xcode install
xcode-select -p

# xcode installed returns
# /Applications/Xcode-beta.app/Contents/Developer

# if xcode is missing then install it... it takes ages;
xcode-select --install
  • Build llama-cpp-python with METAL support:
pip uninstall llama-cpp-python -y
CMAKE_ARGS="-DGGML_METAL=on" pip install -U llama-cpp-python --no-cache-dir

# You should now have llama-cpp-python v0.1.62 or higher installed
# llama-cpp-python         0.1.68

Usage

Run the assistant using the following command:

llama-assistant

# Or with a
python -m llama_assistant.main

Use the global hotkey (default: Cmd+Shift+Space) to quickly access the assistant from anywhere on your system.

Configuration

The assistant's settings can be customized by editing the settings.json file located in your home directory: ~/llama_assistant/settings.json.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the GPLv3 License - see the LICENSE file for details.

Acknowledgements

Star History

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AI-powered assistant to help you with your daily tasks, powered by Llama 3.2. It can recognize your voice, process natural language, and perform various actions based on your commands: summarizing text, rephasing sentences, answering questions, writing emails, and more.

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