Rhino Speech-to-Intent
React Quick Start

Platforms

• Chrome & Chromium-based browsers
• Edge
• Firefox
• Safari

Requirements

• Picovoice Account and AccessKey
• Node.js 14+
• React 17+
• npm

Picovoice Account & AccessKey

Signup or Login to Picovoice Console to get your AccessKey. Make sure to keep your AccessKey secret.

Quick Start

Setup

1. Install Node.js .

2. Install the npm packages:

   • @picovoice/rhino-react
   • @picovoice/web-voice-processor

npm install @picovoice/rhino-react @picovoice/web-voice-processor

Usage

To initialize Rhino you'll need a Rhino context file (.rhn) as well as a model file (.pv). Place these files in the project's public directory or generate a base64 representation of the file using the built-in script:

npx pvbase64 -i ${RHINO_INIT_FILE} -o ${BASE64_OUTPUT_FILE}

Pass the path to the file (relative to the public directory) or use the base64 string:

const rhinoFile = {
  publicPath: "${FILE_RELATIVE_PATH}",
  // or
  base64: "${FILE_BASE64_STRING}",
}

Create a useRhino Hook that infers intent from spoken commands within a given context :

import React, { useEffect } from 'react';
import { useRhino } from '@picovoice/rhino-react';

const contextFileBase64 = // base64 of Rhino context file (.rhn)
const modelFileBase64 = // base64 of Rhino model file (.pv)

function VoiceWidget(props) {
  const {
    inference,
    contextInfo,
    isLoaded,
    isListening,
    error,
    init,
    process,
    release,
  } = useRhino();

  useEffect(() => {
      init(
        "${ACCESS_KEY}",
        { base64: contextFileBase64 },
        { base64: modelFileBase64 }
      );
  }, [])
  
  // ... render component
}

To start detecting an inference, run the process function:

await process();

The process function initializes WebVoiceProcessor. Rhino will then listen and process frames of microphone audio until it reaches a conclusion, then return the result via the inference variable. Once a conclusion is reached Rhino will enter a paused state. From the paused state Rhino call process again to detect another inference.

Allocated resources are automatically freed on unmount, but can also be done explicitly:

await release();

Custom Contexts

Create custom contexts in the Picovoice Console using the Rhino Grammar. Train and download a Rhino context file (.rhn) for the target platform Web (WASM). This model file can be used directly with publicPath, but, if base64 is preferable, convert the .rhn file to a base64 JavaScript variable using the built-in pvbase64 script:

npx pvbase64 -i ${CONTEXT_FILE}.rhn -o ${CONTEXT_BASE64}.js -n ${CONTEXT_BASE64_VAR_NAME}

Similar to the model file (.pv), context files (.rhn) are saved in IndexedDB to be used by Web Assembly. Either base64 or publicPath must be set for the context to instantiate Rhino. If both are set, Rhino will use the base64 model.

const contextModel = {
  publicPath: "${CONTEXT_RELATIVE_PATH}",
  // or
  base64: "${CONTEXT_BASE64_STRING}",
}

Switching Languages

In order to use Rhino with different languages you need to use the corresponding model file (.pv) for the desired language. The model files for all supported languages are available in the Rhino GitHub repository.

Demo

For the Rhino React SDK, there is a React demo project available on the Rhino GitHub repository .

Setup

Clone the Rhino repository from GitHub:

git clone --recurse-submodules https://github.com/Picovoice/rhino.git

Usage

1. Install dependencies:

cd rhino/demo/react
npm install

2. Run the demo with the start script with a language code to start a local web server hosting the demo in the language of your choice (e.g. de -> German, ko -> Korean). To see a list of available languages, run start without a language code.

npm run start ${LANGUAGE}

3. Open http://localhost:3000 to view it in the browser.

4. Enter your access key and press on Init Rhino to start the demo.

Resources