This is a proof of concept of a JSI library for OpenAI Whisper , it combines a C++ port of Whisper from whisper.cpp and a JSI template from this blog.
import Whisper from 'react-native-whisper'
Whisper.transcribeWavToText(pathOfModel,pathOfAudio,(text)=>{alert(text)})
You can specify the location of the model or .wav audio file by providing either its full path (e.g., file:///path/to/file) or its Unix-style path (e.g., /path/to/file).
This project is in no way stable or complete!! Feel free to contribute.
npm install react-native-whisper
yarn add react-native-whisper
For iOS also run pod install
in /ios
folder.
If you are using with Expo, run
expo prebuild
You must have Android NDK and CMake installed on android to build the library.
The following methods are implemented.
The relevant code is present in cpp/example.cpp
file.
helloWorld():string;
multiplyWithCallback(x:number,y:number,callback:(z:number) => void):void
multiply(x:number,y:number):number
The relevant code on android is in android/cpp-adapter.cpp
and ios/SimpleJsi.mm
on iOS.
getDeviceName():string
setItem(key:string,value:string):boolean
getItem(key:string):string
import simpleJsiModule from "react-native-jsi-template";
simpleJsiModule.helloWorld() // returns helloworld.
Run the example app for more.
The initial work done by authors of the following libraries has helped a lot in writing the blog and keeping this repo updated.
See the contributing guide to learn how to contribute to the repository and the development workflow.
MIT