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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\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## Browser Compatibility\n\n- Chrome / Edge\n- Firefox\n- Safari\n\n### Restrictions\n\nIndexedDB and WebWorkers are required to use `Rhino Vue`. 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## Framework Compatibility\n\n- Vue.js 2.6.11+\n- Vue.js 3.0.0+\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-vue @picovoice/web-voice-processor\n```\n\nor using `npm`:\n\n```console\nnpm install --save @picovoice/rhino-vue @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 behaviour.\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\nUse `useRhino` and `init` to initialize `Rhino`.\n\nIn case of any errors, watch for `state.error` to check the error message, otherwise watch `state.isLoaded` to check if `Rhino` has loaded. Also watch for `state.contextInfo` for current context information.\n\n#### Rhino in Vue 2\n\n**NOTE**: If you need to call `useRhino` outside of `data`, make sure to add observer property via `Vue.set` or `observable`.\n\n```vue\n<script lang='ts'>\nimport Vue, { VueConstructor } from 'vue';\nimport { RhinoVue, useRhino } from '@picovoice/rhino-vue';\n\n// Use Vue.extend for JavaScript\nexport default (Vue as VueConstructor<Vue & RhinoVue>).extend({\n  data() {\n    const {\n      state,\n      init,\n      process,\n      release\n    } = useRhino();\n\n    init(\n      ${ACCESS_KEY},\n      rhinoContext,\n      rhinoModel,\n      options\n    );\n\n    return {\n      state,\n      process,\n      release\n    }\n  },\n  watch: {\n    \"state.inference\": function(inference) {\n      if (inference !== null) {\n        console.log(inference)\n      }\n    },\n    \"state.contextInfo\": function(contextInfo) {\n      if (contextInfo !== null) {\n        console.log(contextInfo)\n      }\n    },\n    \"state.isLoaded\": function(isLoaded) {\n      console.log(isLoaded)\n    },\n    \"state.isListening\": function(isListening) {\n      console.log(isListening)\n    },\n    \"state.error\": function(error) {\n      console.error(error)\n    },\n  },\n  onBeforeDestroy() {\n    this.release();\n  },\n});\n</script>\n```\n\n#### Rhino in Vue 3\n\nIn Vue 3, we take advantage of the [Composition API](https://vuejs.org/api/composition-api-setup.html), especially the use of `reactive`.\n\n```vue\n<script lang='ts'>\nimport { defineComponent, onBeforeUnmount, watch } from 'vue';\nimport { useRhino } from '@picovoice/rhino-vue';\n\n// Use Vue.extend for JavaScript\nexport default defineComponent({\n  setup() {\n    const { \n      state,\n      init,\n      process,\n      release\n    } = useRhino();\n    \n    watch(() => state.isLoaded, (newVal) => {\n      console.log(newVal);\n    });\n\n    watch(() => state.isListening, (newVal) => {\n      console.log(newVal);\n    });\n\n    watch(() => state.inference, (inference) => {\n      if (inference !== null) {\n        console.log(inference);\n      }\n    });\n    \n    watch(() => state.contextInfo, (contextInfo) => {\n      if (contextInfo !== null) {\n        console.log(contextInfo);\n      }\n    });\n    \n    watch(() => state.error, (err) => {\n      if (err) {\n        console.error(err);\n      }\n    });\n\n    onBeforeUnmount(() => {\n      release();\n    });\n\n    init(\n      ${ACCESS_KEY},\n      rhinoContext,\n      rhinoModel,\n      options\n    );\n    \n    return {\n      process,\n      release\n    }\n  }\n});\n</script>\n```\n\n### Process Audio Frames\n\nThe Rhino Vue binding uses [WebVoiceProcessor](https://github.com/Picovoice/web-voice-processor) to record audio.\nTo start detecting an inference, run the `process` function:\n\n```typescript\nawait this.process();\n```\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 `state.inference` variable.\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### Release\n\nRun release explicitly to clean up all resources used by `Rhino` and `WebVoiceProcessor`:\n\n```typescript\nthis.release();\n```\n\nThis will set `state.isLoaded` and `state.isListening` to false.\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 [Vue demo application](https://github.com/Picovoice/rhino/tree/master/demo/vue).\n","readmeFilename":"README.md"}