OpenAI Realtime API on ESP32 S3 Muse Radio using Arduino library скачать в хорошем качестве

OpenAI Realtime API on ESP32 S3 Muse Radio using Arduino library

Demo 1: [Realtime API using WebSockets](https://platform.openai.com/docs/guid...) Ultra-fast response times, ideal for interactive voice assistants.    • OpenAI Realtime API on ESP32 S3 Muse Radio...   Demo 2: [Chained architecture](https://platform.openai.com/docs/guid...) — processes audio step by step: 🎙️ Audio → Text → LLM response → Text-to-Speech A little slower (2–3 seconds of latency), but extremely cost-effective to run.    • OpenAI Realtime API on ESP32 S3 Muse Radio...   We have updated our ESP Muse library to support OpenAi Chatgpt Voice application You have the **freedom to choose between the two architectures**: Unlike many examples you can find online that require a **local or cloud server to do all the heavy lifting**, this library allows the **ESP32 itself to communicate directly with the OpenAI API**. No intermediate server, no complicated setup — just your device and the API. [The *big advantage* of this library](https://github.com/RASPIAUDIO/Muse_li...) is that it works *directly with Arduino* — no need to use the **ESP-IDF**, which can often be complex and time-consuming to set up. With this library, you can prototype and run AI-powered voice applications on your ESP32 in just a few minutes. This library is compatible with the full **ESP Muse product line**: Muse Luxe Muse Radio Muse Proto Muse Manga Our hope is that this release will help you *experiment with new AI-driven audio applications* — projects that could truly **transform the way we interact with technology in our daily lives**. Resources mentioned in the video: Arduino libraries with examples from the demo: 🔗 https://github.com/RASPIAUDIO/Muse_li... Muse Radio devices on our web store: 🔗 https://raspiaudio.com/muse/