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It directly infers intent from spoken commands within a given context of\ninterest, in real-time. For example, given a spoken command:\n\n> Can I have a small double-shot espresso?\nRhino infers that the user would like to order a drink and emits the following inference result:\n```json\n{\n  \"isUnderstood\": \"true\",\n  \"intent\": \"orderBeverage\",\n  \"slots\": {\n    \"beverage\": \"espresso\",\n    \"size\": \"small\",\n    \"numberOfShots\": \"2\"\n  }\n}\n```\n\nRhino is:\n\n* using deep neural networks trained in real-world environments.\n* compact and computationally-efficient, making it perfect for IoT.\n* self-service. Developers and designers can train custom models using [Picovoice Console](https://console.picovoice.ai/).\n\n## Compatibility\n\n- Chrome / Edge\n- Firefox\n- Safari\n\n### Restrictions\n\nIndexedDB and WebWorkers are required to use `Rhino Angular`. Browsers without support (i.e. Firefox Incognito Mode) \nshould use the [`RhinoWeb binding`](https://github.com/Picovoice/rhino/tree/master/binding/web) main thread method.\n\n## AccessKey\n\nRhino requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Rhino SDKs.\nYou can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.\nSignup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.\n\n## Installation\n\nUsing `yarn`:\n\n```console\nyarn add @picovoice/rhino-angular @picovoice/web-voice-processor\n```\n\nor using `npm`:\n\n```console\nnpm install --save @picovoice/rhino-angular @picovoice/web-voice-processor\n```\n\n## Usage\n\nThere are two methods to initialize Rhino:\n\n### Public Directory\n\n**NOTE**: Due to modern browser limitations of using a file URL, this method does __not__ work if used without hosting a server.\n\nThis method fetches [the model file](https://github.com/Picovoice/rhino/blob/master/lib/common/rhino_params.pv) from the public directory and feeds it to Rhino. Copy the model file into the public directory:\n\n```console\ncp ${RHINO_MODEL_FILE} ${PATH_TO_PUBLIC_DIRECTORY}\n```\n\nThe same procedure can be used for the [Rhino context](https://github.com/Picovoice/rhino/tree/master/resources/contexts) (`.rhn`) files.\n\n### Base64\n\n**NOTE**: This method works without hosting a server, but increases the size of the model file roughly by 33%.\n\nThis method uses a base64 string of the model file and feeds it to Rhino. Use the built-in script `pvbase64` to base64 your model file:\n\n```console\nnpx pvbase64 -i ${RHINO_MODEL_FILE} -o ${OUTPUT_DIRECTORY}/${MODEL_NAME}.js\n```\n\nThe output will be a js file which you can import into any file of your project. For detailed information about `pvbase64`,\nrun:\n\n```console\nnpx pvbase64 -h\n```\n\nThe same procedure can be used for the [Rhino context](https://github.com/Picovoice/rhino/tree/master/resources/contexts) (`.rhn`) files.\n\n### Rhino Model\n\nRhino saves and caches your model (`.pv`) and context (`.rhn`) files in the IndexedDB to be used by Web Assembly.\nUse a different `customWritePath` variable to hold multiple model values and set the `forceWrite` value to true to force an overwrite of the model file.\nIf the model (`.pv`) or context (`.rhn`) files change, `version` should be incremented to force the cached model to be updated. Either `base64` or `publicPath` must be set to instantiate Rhino. If both are set, Rhino will use the `base64` parameter.\n\n```typescript\n// Context (.rhn)\nconst rhinoContext = {\n  publicPath: ${CONTEXT_RELATIVE_PATH},\n  // or\n  base64: ${CONTEXT_BASE64_STRING},\n  // Optionals\n  customWritePath: 'custom_context',\n  forceWrite: true,\n  version: 1,\n  sensitivity: 0.5,\n}\n// Model (.pv)\nconst rhinoModel = {\n  publicPath: ${MODEL_RELATIVE_PATH},\n  // or\n  base64: ${MODEL_BASE64_STRING},\n  // Optionals\n  customWritePath: 'custom_model',\n  forceWrite: true,\n  version: 1,\n}\n```\n\nAdditional engine options are provided via the `options` parameter.\nUse `endpointDurationSec` and `requireEndpoint` to control the engine's endpointing behavior.\nAn endpoint is a chunk of silence at the end of an utterance that marks the end of spoken command.\n\n```typescript\n// Optional. These are the default values\nconst options = {\n  endpointDurationSec: 1.0,\n  requireEndpoint: true,\n}\n```\n\n### Initialize Rhino\n\nFirst subscribe to the events from `RhinoService`. There are five subscription events:\n\n- `inference$`: Returns the inference.\n- `contextInfo$`: Returns the context info once `Rhino` has loaded successfully.\n- `isLoaded$`: Returns true if `Rhino` has loaded successfully.\n- `isListening$`: Returns true if `WebVoiceProcessor` has started successfully and Rhino is listening for an utterance.\n- `error$`:  Returns any errors occurred.\n\n```typescript\nimport { Subscription } from \"rxjs\"\nimport { RhinoService } from \"@picovoice/rhino-angular\"\n...\n  constructor(private rhinoService: RhinoService) {\n    this.contextInfoSubscription = rhinoService.contextInfo$.subscribe(\n      contextInfo => {\n        console.log(contextInfo);\n      });\n    this.inferenceSubscription = rhinoService.inference$.subscribe(\n      inference => {\n        console.log(inference);\n      });\n    this.isLoadedSubscription = rhinoService.isLoaded$.subscribe(\n      isLoaded => {\n        console.log(isLoaded);\n      });\n    this.isListeningSubscription = rhinoService.isListening$.subscribe(\n      isListening => {\n        console.log(isListening);\n      });\n    this.errorSubscription = rhinoService.error$.subscribe(\n      error => {\n        console.log(error);\n      });\n  }\n```\n\nAfter setting up the subscriber events, initialize `Rhino`:\n\n```typescript\nasync ngOnInit() {\n  await this.rhinoService.init(\n    ${ACCESS_KEY},\n    rhinoContext,\n    rhinoModel,\n  );\n}\n````\n\n### Process Audio Frames\n\nThe Rhino Angular binding uses [WebVoiceProcessor](https://github.com/Picovoice/web-voice-processor) to record audio.\nTo start detecting detecting an inference, run the `process` function:\n```typescript\nawait this.rhinoService.process();\n```\nThe `process` function initializes WebVoiceProcessor.\nRhino will then listen and process frames of microphone audio until it reaches a conclusion, then return the result via the `inference$` event.\nOnce a conclusion is reached Rhino will enter a paused state. From the paused state Rhino call `process` again to detect another inference.\n\n### Cleanup\n\nWhen you are done with Rhino call `release`. This cleans up all resources used by Rhino and WebVoiceProcessor.\n\n```typescript\nngOnDestroy() {\n  this.contextInfoSubscription.unsubscribe();\n  this.inferenceSubscription.unsubscribe();\n  this.isLoadedSubscription.unsubscribe();\n  this.isListeningSubscription.unsubscribe();\n  this.errorSubscription.unsubscribe();\n  this.rhinoService.release();\n}\n```\n\nIf any arguments require changes, call `release` then `init` again to initialize Rhino with the new settings.\n\n## Contexts\n\nCreate custom contexts using the [Picovoice Console](https://console.picovoice.ai/).\nTrain and download a Rhino context file (`.rhn`) for the target platform `Web (WASM)`.\nThis model file can be used directly with `publicPath`, but, if `base64` is preferable, convert the `.rhn` file to a\nbase64 JavaScript variable using the built-in `pvbase64` script:\n\n```console\nnpx pvbase64 -i ${CONTEXT_FILE}.rhn -o ${CONTEXT_BASE64}.js -n ${CONTEXT_BASE64_VAR_NAME}\n```\n\nSimilar to the model file (`.pv`), context files (`.rhn`) are saved in IndexedDB to be used by Web Assembly.\nEither `base64` or `publicPath` must be set for the context to instantiate Rhino.\nIf both are set, Rhino will use the `base64` model.\n\n```typescript\nconst contextModel = {\n  publicPath: \"${CONTEXT_RELATIVE_PATH}\",\n  // or\n  base64: \"${CONTEXT_BASE64_STRING}\",\n}\n```\n\n## Switching Languages\n\nIn order to make inferences in different language you need to use the corresponding model file (`.pv`).\nThe model files for all supported languages are available [here](https://github.com/Picovoice/rhino/tree/master/lib/common).\n\n## Demo\n\nFor example usage, refer to our [Angular demo application](https://github.com/Picovoice/rhino/tree/master/demo/angular).\n","readmeFilename":"README.md"}