base on Offline voice assistant that respects your privacy. Forged in Rust. WIP. # JARVIS Voice Assistant (this readme is outdated) ![We are NOT limited by the technology of our time!](poster.jpg) `Jarvis` - is a voice assistant made as an experiment using neural networks for things like **STT/TTS/Wake Word/NLU** etc. The main project challenges we try to achieve is: - 100% offline *(no cloud)* - Open source *(full transparency)* - No data collection *(we respect your privacy)* Our backend stack is 🦀 **[Rust](https://www.rust-lang.org/)** with ❤️ **[Tauri](https://tauri.app/)**.<br> For the frontend we use ⚡️ **[Vite](https://vitejs.dev/)** + 🛠️ **[Svelte](https://svelte.dev/)**. *Other libraries, tools and packages can be found in source code.* ## Neural Networks This are the neural networks we are currently using: - Speech-To-Text - [Vosk Speech Recognition Toolkit](https://github.com/alphacep/vosk-api) via [Vosk-rs](https://github.com/Bear-03/vosk-rs) - Text-To-Speech - [~~Silero TTS~~](https://github.com/snakers4/silero-models) *(currently not used)* - [~~Coqui TTS~~](https://github.com/coqui-ai/TTS) *(currently not used)* - [~~WinRT~~](https://github.com/ndarilek/tts-rs) *(currently not used)* - [~gTTS~](https://github.com/nightlyistaken/tts_rust) *(currently not used)* - [~~SAM~~](https://github.com/s-macke/SAM) *(currently not used)* - Wake Word - [Rustpotter](https://github.com/GiviMAD/rustpotter) *(Partially implemented, still WIP)* - [Picovoice Porcupine](https://github.com/Picovoice/porcupine) via [official SDK](https://github.com/Picovoice/porcupine#rust) *(requires API key)* - [Vosk Speech Recognition Toolkit](https://github.com/alphacep/vosk-api) via [Vosk-rs](https://github.com/Bear-03/vosk-rs) *(very slow)* - [~~Snowboy~~](https://github.com/Kitt-AI/snowboy) *(currently not used)* - NLU - Nothing yet. - Chat - [~~ChatGPT~~](https://chat.openai.com/) (coming soon) ## Supported Languages Currently, only Russian language is supported.<br> But soon, Ukranian and English will be added for the interface, wake-word detection and speech recognition. ## How to build? Nothing special was used to build this project.<br> You need only Rust and NodeJS installed on your system.<br> Other than that, all you need is to install all the dependencies and then compile the code with `cargo tauri build` command.<br> Or run dev with `cargo tauri dev`. <br><br> *Thought you might need some of the platform specific libraries for [PvRecorder](https://github.com/Picovoice/pvrecorder) and [Vosk](https://github.com/alphacep/vosk-api).* ## Author Abraham Tugalov ## Python version? Old version of Jarvis was built with Python.<br> The last Python version commit can be found [here](https://github.com/Priler/jarvis/tree/943efbfbdb8aeb5889fa5e2dc7348ca4ea0b81df). ## License [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/)<br> See LICENSE.txt file for more details. ", Assign "at most 3 tags" to the expected json: {"id":"4839","tags":[]} "only from the tags list I provide: []" returns me the "expected json"