Hugging Face has launched FastRTC, a new library designed to simplify the development of real-time audio and video applications in Python. FastRTC enables features such as automatic voice detection and phone integration, making it easier for developers to create applications that utilize AI models. The library allows users to build production-grade applications with minimal code, reportedly enabling the creation of a real-time voice application in just 30 lines. FastRTC is compatible with any AI model and provides an instant Gradio user interface for testing. The launch aims to address the complexities developers face when working with WebRTC and real-time communication, streamlining the process significantly.
Hugging Face launches FastRTC to simplify real-time AI voice and video apps | VentureBeat https://t.co/boU1oix4Kj
Hugging Face launches FastRTC to simplify real-time AI voice and video apps https://t.co/bENpNhGvzd
Real-time captions that actually keep up with the conversation is now possible 💪 Moonshine text-to-speech running a FastRTC server Try it out: https://t.co/smEEzDH8xa https://t.co/5c47TkJmQO