Audio car cockpit demo

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Browse the complete example on GitHub

What’s inside?

Combines LFM2.5-Audio-1.5B in TTS and STT modes with LFM2-1.2B-Tool within a mockup of a car cockpit, letting the user control the car functionalities by voice.

All running locally in real-time.

Key Components

Llama.cpp is used for both models inference, with a custom runner for the audio model. The car cockpit (UI) is vanilla js+html+css, and the communication with the backend is through messages over websocket, like a widely simplified car CAN bus.

Supported Platforms

Supported Platforms

The following platforms are currently supported:

• macOS ARM64
• Ubuntu ARM64
• Ubuntu x64

Quick Start

1. Setup Python environment:

   git clone https://github.com/Liquid4All/cookbook.git
   cd cookbook/examples/audio-car-cockpit
   make setup
   

2. Optional: If you already have llama-server in your path, you can symlink instead of building it:

   ln -s $(which llama-server) llama-server
   

3. Prepare the audio and tool calling models:

   make LFM2.5-Audio-1.5B-GGUF LFM2-1.2B-Tool-GGUF
   

4. Launch the demo:

   make -j2 audioserver serve
   

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