Streaming real-time text to speech with XTTS V2

A streaming endpoint for XTTS V2, a state-of-the-art open-source text-to-speech model with voice cloning capabilities, can be deployed to power an entire new class of AI applications. The streaming endpoint has a round-trip time to first chunk of as little as 200 milliseconds and delivers near real-time audio playback for a given text input. XTTS V2 is natively capable of streaming and can generate speech in 17 languages, with the ability to support over a dozen languages. A model server implemented in Truss enables fast inference times, and deploying the streaming endpoint requires setting GPU resources in config.yaml and running `truss push` to create a development deployment on Baseten. Consuming the model output depends on the application, but can be demonstrated with a quick Python script that streams the audio with FFmpeg.

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