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The Livekit Python Client provides a convenient interface for integrating Livekit's real-time video and audio capabilities into your Python applications. With this library, developers can easily leverage Livekit's WebRTC functionalities, allowing them to focus on building their AI models or other application logic without worrying about the complexities of WebRTC.
-[Facelandmark](https://github.com/livekit/client-sdk-python/tree/main/examples/face_landmark): Use mediapipe to detect face landmarks (eyes, nose ...)
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-[Whisper](https://github.com/livekit/client-sdk-python/tree/main/examples/whisper): Transcribe an audio track using OpenAI whisper
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-[Basic room](https://github.com/livekit/client-sdk-python/blob/main/examples/basic_room.py): Connect to a room
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-[Publish hue](https://github.com/livekit/client-sdk-python/blob/main/examples/publish_hue.py): Publish a rainbow video track
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-[Publish wave](https://github.com/livekit/client-sdk-python/blob/main/examples/publish_hue.py): Publish a sine wave
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## Getting help / Contributing
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Please join us on [Slack](https://join.slack.com/t/livekit-users/shared_invite/zt-rrdy5abr-5pZ1wW8pXEkiQxBzFiXPUg) to get help from our [devs](https://github.com/orgs/livekit/teams/devs/members) / community members. We welcome your contributions(PRs) and details can be discussed there.
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