react-native-whisper

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.

Usage

``js
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.




Installation

`sh
npm install react-native-whisper
`

`sh
yarn add react-native-whisper
`

For iOS also run pod install in /ios folder.

If you are using with Expo, run

`sh
expo prebuild
`




Prerequisites

You must have Android NDK and CMake installed on android to build the library.

Methods

The following methods are implemented.

$3

The relevant code is present in cpp/example.cpp file.
`ts
helloWorld():string;

multiplyWithCallback(x:number,y:number,callback:(z:number) => void):void

multiply(x:number,y:number):number
`

$3


The relevant code on android is in android/cpp-adapter.cpp and ios/SimpleJsi.mm on iOS.
`ts
getDeviceName():string

setItem(key:string,value:string):boolean

getItem(key:string):string
`

Basic usage example


`tsx
import simpleJsiModule from "react-native-jsi-template";

simpleJsiModule.helloWorld() // returns helloworld.
``
Run the example app for more.

Thanks to these libraries & their authors:

The initial work done by authors of the following libraries has helped a lot in writing the blog and keeping this repo updated.

- react-native-mmkv
- react-native-reanimated

Contributing

See the contributing guide to learn how to contribute to the repository and the development workflow.

License

MIT