This project provides a real-time AI assistant for LiveKit, a popular open-source video conferencing platform. It enables users to interact with participants in a LiveKit room using natural language, offering features like summarization and transcription. The target audience includes developers building interactive video applications who want to integrate AI-powered features.

How It Works

The assistant leverages a combination of technologies to process audio and generate responses. It likely uses WebRTC for real-time audio streaming from LiveKit, a speech-to-text service (like Deepgram) to transcribe participant audio, and a large language model (like OpenAI's GPT) to understand context and generate responses. The system processes audio streams in real-time, feeding them to the transcription service and then to the LLM for analysis and action.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Prerequisites: Python 3.x, LiveKit server, Deepgram API key, OpenAI API key.
• Environment Variables: LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET, DEEPGRAM_API_KEY, OPENAI_API_KEY.
• Usage: python3 assistant.py download-files and python3 assistant.py start.

Highlighted Details

• Real-time audio processing for LiveKit rooms.
• Integration with Deepgram for speech-to-text.
• Utilizes OpenAI API for AI-powered interactions.
• Supports features like summarization and transcription.

Maintenance & Community

No information on contributors, community channels, or roadmap is available in the provided README.

Licensing & Compatibility

The license is not specified in the README. Compatibility with commercial or closed-source applications is unknown.

Limitations & Caveats

The project requires significant external API keys (LiveKit, Deepgram, OpenAI), which may incur costs. The README does not detail performance benchmarks, error handling, or specific LiveKit version compatibility.