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{ configureStore } from '@reduxjs/toolkit'\n\nimport { createSlice, PayloadAction } from '@reduxjs/toolkit'\n\ninterface SettingsState {\n threshold: number,\n showStats: boolean,\n speakAlong: boolean\n}\n\nconst initialState: { settings: SettingsState, sentence: { predictions: string[], words: string[], log: string[][]} } = {\n settings: {\n threshold: 85,\n showStats: false,\n speakAlong: true,\n },\n sentence: {predictions: [], words:[], log: []},\n \n}\n\nexport const settingsSlice = createSlice({\n name: 'settings',\n initialState: initialState.settings,\n reducers: {\n setThreshold: (state, action: PayloadAction) => {\n state.threshold = action.payload\n },\n setShowStats: (state, action: PayloadAction) => {\n state.showStats = action.payload\n },\n setSpeakAlong: (state, action: PayloadAction) => {\n state.speakAlong = action.payload\n },\n },\n})\n\nexport const sentenceSlice = createSlice({\n name: 'sentence',\n initialState:initialState.sentence,\n reducers: {\n addPrediction: (state, action: PayloadAction) => {\n state.predictions.push(action.payload);\n },\n addWord: (state, action: PayloadAction) => {\n state.predictions = [];\n state.words.push(action.payload);\n },\n logWords: (state) => {\n state.log.unshift(state.words);\n state.words = [];\n },\n },\n})\n\n\nexport default settingsSlice.reducer\nexport const store = configureStore({\n reducer: { settings: settingsSlice.reducer, sentence: sentenceSlice.reducer },\n})\n\n// Infer the `RootState` and `AppDispatch` types from the store itself\nexport type RootState = ReturnType\n// Inferred type: {posts: PostsState, comments: CommentsState, users: UsersState}\nexport type AppDispatch = typeof store.dispatch\n\nexport const getState = store.getState;\nexport const dispatch = store.dispatch;","import React from 'react';\nimport Button from '@material-ui/core/Button';\nimport Dialog from '@material-ui/core/Dialog';\nimport DialogActions from '@material-ui/core/DialogActions';\nimport DialogContent from '@material-ui/core/DialogContent';\nimport DialogContentText from '@material-ui/core/DialogContentText';\nimport DialogTitle from '@material-ui/core/DialogTitle';\nimport Slider from '@material-ui/core/Slider';\nimport FormControlLabel from '@material-ui/core/FormControlLabel';\nimport Switch from '@material-ui/core/Switch';\nimport { useSelector, useDispatch } from 'react-redux'\nimport { RootState, AppDispatch, settingsSlice } from './store';\nimport FormGroup from '@material-ui/core/FormGroup';\n\nfunction valuetext(value: number) {\n return `${value}%`;\n}\n\nexport default function SettingsDialog(props: { open: boolean, handleClose: () => void }) {\n const { open, handleClose } = props;\n const settings = useSelector((state: RootState) => state.settings)\n const dispatch: AppDispatch = useDispatch()\n\n return (\n
\n \n \n Settings\n \n \n \n \n dispatch(settingsSlice.actions.setThreshold(value as number))}\n />\n }\n label=\"Accuracy threshold\"\n labelPlacement=\"top\"\n />\n\n dispatch(settingsSlice.actions.setShowStats(event.target.checked))}\n name=\"showStats\"\n color=\"primary\"\n />\n }\n label=\"Show Stats\"\n />\n\n dispatch(settingsSlice.actions.setSpeakAlong(event.target.checked))}\n name=\"showStats\"\n color=\"primary\"\n />\n }\n label=\"Speak along signing\"\n />\n \n \n \n \n \n \n \n
\n );\n}","import { Camera } from \"@mediapipe/camera_utils\";\nimport { Hands, NormalizedLandmarkList, Results } from \"@mediapipe/hands\";\nimport * as tf from '@tensorflow/tfjs'\nimport { dispatch, getState, sentenceSlice } from \"./store\";\n\nvar model: tf.LayersModel;\n\nvar actions: string[] = [];\n// var franco: {[key:string]: string};\n\nvar keypoints = [];\nvar sequence: number[][] = [];\n\nvar predictions: string[] = [];\nvar words: string[] = [];\n\nconst zeros = new Array(63).fill(0);\nexport const extractKeypoints = (landmarks: NormalizedLandmarkList) => {\n return landmarks.reduce(\n function (accumulator, currentValue) {\n return accumulator.concat([currentValue.x, currentValue.y, currentValue.z])\n },\n [] as number[]\n )\n}\nexport function mode(arr: any[]) {\n return arr.sort((a, b) =>\n arr.filter(v => v === a).length\n - arr.filter(v => v === b).length\n ).pop();\n}\n\nfunction extractSequence(results: Results) {\n\n if (results.multiHandLandmarks && results.multiHandedness) {\n var lh = zeros;\n var rh = zeros;\n\n for (let index = 0; index < results.multiHandLandmarks.length; index++) {\n const classification = results.multiHandedness[index];\n const isRightHand = classification.label === 'Right';\n const landmarks = results.multiHandLandmarks[index];\n\n if (isRightHand) {\n rh = extractKeypoints(landmarks)\n }\n else {\n lh = extractKeypoints(landmarks)\n }\n }\n\n keypoints = [...lh, ...rh]\n sequence.push(keypoints)\n }\n\n}\n\nexport async function loadModel() {\n const modelURL = '/IHearU-client/model/model.json';\n model = await tf.loadLayersModel(modelURL);\n}\n\nexport async function loadActions() {\n const response = await fetch(\"/IHearU-client/model.csv\");\n const data = await response.text();\n actions = data.split(\",\");\n // await loadFranco();\n}\n\n// async function loadFranco() {\n// const response = await fetch(\"/franco.json\");\n// franco = await response.json();\n// }\n\nexport async function loadVideoFeed(el: HTMLVideoElement) {\n const hands = new Hands({\n locateFile: (file) => {\n return `/IHearU-client/hands/${file}`;\n }\n });\n hands.setOptions({\n maxNumHands: 2,\n minDetectionConfidence: 0.5,\n minTrackingConfidence: 0.5\n });\n hands.onResults(onResults);\n await hands.initialize()\n if (el) {\n new Camera(el, {\n onFrame: async () => {\n await hands.send({ image: el });\n },\n }).start()\n }\n\n}\nconst makePrediction = (sequence: number[][]) => {\n let tensor: tf.Tensor3D = tf.tensor([sequence]);\n let outputTensor = model.predict(tensor)\n let res = (outputTensor as tf.Tensor3D).dataSync()\n let max = Math.max(...res)\n let argmax = [...res].indexOf(max);\n\n const threshold = getState().settings.threshold / 100\n if (max >= threshold) {\n console.log(actions[argmax], max);\n return actions[argmax]\n }\n return null;\n\n}\n\nfunction onResults(results: Results) {\n extractSequence(results)\n if (sequence.length === 2) {\n const prediction = makePrediction(sequence);\n const isNew = prediction !== words[words.length - 1];\n const isStable = predictions.length > 4 && prediction === mode(predictions);\n\n if (prediction) {\n predictions.push(prediction);\n dispatch(sentenceSlice.actions.addPrediction(prediction))\n }\n\n if (prediction && isNew && isStable) {\n words.push(prediction);\n predictions = [];\n dispatch(sentenceSlice.actions.addWord(prediction));\n const speakAlong = getState().settings.speakAlong;\n if (speakAlong) try {\n // speechSynthesis.speak(new SpeechSynthesisUtterance(franco[prediction]));\n new Audio(`audio/${prediction}.mp3`).play();\n } catch (error) { } \n }\n sequence = []\n }\n\n}\n\nexport function logWords() {\n // const sentenceWords = getState().sentence.words;\n // const francoWords = sentenceWords.map(word => franco[word])\n // speechSynthesis.speak(new SpeechSynthesisUtterance(francoWords.join(\" \")));\n dispatch(sentenceSlice.actions.logWords());\n words = []\n}\n\nexport function getCounts(arr: string[]) {\n let countedWords = arr.reduce(function (counts, word) {\n if (word in counts) {\n counts[word]++\n }\n else {\n counts[word] = 1\n }\n return counts\n }, {} as { [key: string]: number })\n return countedWords;\n}\n\n","import React, { useEffect, useRef } from 'react';\nimport { useSelector } from 'react-redux'\nimport './App.css';\nimport Webcam from 'react-webcam';\nimport AppBar from '@material-ui/core/AppBar';\nimport Toolbar from '@material-ui/core/Toolbar';\nimport Typography from '@material-ui/core/Typography';\nimport IconButton from '@material-ui/core/IconButton';\nimport SettingsIcon from '@material-ui/icons/Settings';\nimport SettingsDialog from './Settings';\nimport { RootState } from './store';\nimport { getCounts, loadActions, loadModel, loadVideoFeed, logWords } from './util';\nimport CircularProgress from '@material-ui/core/CircularProgress';\nimport RecordVoiceOverIcon from '@material-ui/icons/RecordVoiceOver';\nimport { ThemeProvider } from '@material-ui/core/styles';\nimport { createTheme } from '@material-ui/core/styles';\nimport TypeWriter from 'react-typewriter';\n\nconst theme = createTheme({\n palette: {\n primary: {\n light: '#ffce42',\n main: '#ffbd00',\n dark: '#bd8c00',\n contrastText: '#fff',\n },\n },\n});\n\nfunction App() {\n const webcamRef: React.Ref = useRef(null);\n const [settingsOpen, setSettingsOpen] = React.useState(false);\n const [loading, setLoading] = React.useState(true);\n const settings = useSelector((state: RootState) => state.settings)\n const sentence = useSelector((state: RootState) => state.sentence)\n\n const handleClickOpenSettings = () => {\n setSettingsOpen(true);\n };\n\n const handleCloseSettings = () => {\n setSettingsOpen(false);\n };\n\n useEffect(() => {\n const init = async () => {\n await loadActions()\n await loadModel();\n if (webcamRef.current?.video) await loadVideoFeed(webcamRef.current?.video)\n setLoading(false)\n }\n init()\n }, []);\n\n\n return (\n \n \n \n
\n \"logo\"\n IHearU\n
\n \n \n \n \n \n
\n {(!loading && settings.showStats) &&
\n {/*
Threshold: {settings.threshold}%
*/}\n
\n {Object.keys(getCounts(sentence.predictions)).map(word =>\n {word}: {getCounts(sentence.predictions)[word]} )}\n
\n
}\n \n \n {loading &&
\n \"IHearU\n

Loading detection models

\n
\n }\n {!loading &&
\n
\n {sentence.words.join(\" \")}\n \n \n \n
\n\n
\n {sentence.log.map((sentence, i) =>\n

{sentence.join(\" \")}

\n )}\n
\n
}\n
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However, it also means that developers (and users)\n// will only see deployed updates on subsequent visits to a page, after all the\n// existing tabs open on the page have been closed, since previously cached\n// resources are updated in the background.\n\n// To learn more about the benefits of this model and instructions on how to\n// opt-in, read https://cra.link/PWA\n\nconst isLocalhost = Boolean(\n window.location.hostname === 'localhost' ||\n // [::1] is the IPv6 localhost address.\n window.location.hostname === '[::1]' ||\n // 127.0.0.0/8 are considered localhost for IPv4.\n window.location.hostname.match(/^127(?:\\.(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)){3}$/)\n);\n\ntype Config = {\n onSuccess?: (registration: ServiceWorkerRegistration) => void;\n onUpdate?: (registration: ServiceWorkerRegistration) => void;\n};\n\nexport function register(config?: Config) {\n if (process.env.NODE_ENV === 'production' && 'serviceWorker' in navigator) {\n // The URL constructor is available in all browsers that support SW.\n const publicUrl = new URL(process.env.PUBLIC_URL, window.location.href);\n if (publicUrl.origin !== window.location.origin) {\n // Our service worker won't work if PUBLIC_URL is on a different origin\n // from what our page is served on. This might happen if a CDN is used to\n // serve assets; see https://github.com/facebook/create-react-app/issues/2374\n return;\n }\n\n window.addEventListener('load', () => {\n const swUrl = `${process.env.PUBLIC_URL}/service-worker.js`;\n\n if (isLocalhost) {\n // This is running on localhost. Let's check if a service worker still exists or not.\n checkValidServiceWorker(swUrl, config);\n\n // Add some additional logging to localhost, pointing developers to the\n // service worker/PWA documentation.\n navigator.serviceWorker.ready.then(() => {\n console.log(\n 'This web app is being served cache-first by a service ' +\n 'worker. To learn more, visit https://cra.link/PWA'\n );\n });\n } else {\n // Is not localhost. Just register service worker\n registerValidSW(swUrl, config);\n }\n });\n }\n}\n\nfunction registerValidSW(swUrl: string, config?: Config) {\n navigator.serviceWorker\n .register(swUrl)\n .then((registration) => {\n registration.onupdatefound = () => {\n const installingWorker = registration.installing;\n if (installingWorker == null) {\n return;\n }\n installingWorker.onstatechange = () => {\n if (installingWorker.state === 'installed') {\n if (navigator.serviceWorker.controller) {\n // At this point, the updated precached content has been fetched,\n // but the previous service worker will still serve the older\n // content until all client tabs are closed.\n console.log(\n 'New content is available and will be used when all ' +\n 'tabs for this page are closed. See https://cra.link/PWA.'\n );\n\n // Execute callback\n if (config && config.onUpdate) {\n config.onUpdate(registration);\n }\n } else {\n // At this point, everything has been precached.\n // It's the perfect time to display a\n // \"Content is cached for offline use.\" message.\n console.log('Content is cached for offline use.');\n\n // Execute callback\n if (config && config.onSuccess) {\n config.onSuccess(registration);\n }\n }\n }\n };\n };\n })\n .catch((error) => {\n console.error('Error during service worker registration:', error);\n });\n}\n\nfunction checkValidServiceWorker(swUrl: string, config?: Config) {\n // Check if the service worker can be found. 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App is running in offline mode.');\n });\n}\n\nexport function unregister() {\n if ('serviceWorker' in navigator) {\n navigator.serviceWorker.ready\n .then((registration) => {\n registration.unregister();\n })\n .catch((error) => {\n console.error(error.message);\n });\n }\n}\n","import { ReportHandler } from 'web-vitals';\n\nconst reportWebVitals = (onPerfEntry?: ReportHandler) => {\n if (onPerfEntry && onPerfEntry instanceof Function) {\n import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {\n getCLS(onPerfEntry);\n getFID(onPerfEntry);\n getFCP(onPerfEntry);\n getLCP(onPerfEntry);\n getTTFB(onPerfEntry);\n });\n }\n};\n\nexport default reportWebVitals;\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport './index.css';\nimport App from './App';\nimport * as serviceWorkerRegistration from './serviceWorkerRegistration';\nimport reportWebVitals from './reportWebVitals';\n\nimport { store } from './store'\nimport { Provider } from 'react-redux'\n\nReactDOM.render(\n \n \n ,\n document.getElementById('root')\n);\n\n// If you want your app to work offline and load faster, you can change\n// unregister() to register() below. 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{ configureStore } from '@reduxjs/toolkit'\n\nimport { createSlice, PayloadAction } from '@reduxjs/toolkit'\n\ninterface SettingsState {\n threshold: number,\n showStats: boolean,\n speakAlong: boolean\n}\n\nconst initialState: { settings: SettingsState, sentence: { predictions: string[], words: string[], log: string[][]} } = {\n settings: {\n threshold: 85,\n showStats: false,\n speakAlong: true,\n },\n sentence: {predictions: [], words:[], log: []},\n \n}\n\nexport const settingsSlice = createSlice({\n name: 'settings',\n initialState: initialState.settings,\n reducers: {\n setThreshold: (state, action: PayloadAction) => {\n state.threshold = action.payload\n },\n setShowStats: (state, action: PayloadAction) => {\n state.showStats = action.payload\n },\n setSpeakAlong: (state, action: PayloadAction) => {\n state.speakAlong = action.payload\n },\n },\n})\n\nexport const sentenceSlice = createSlice({\n name: 'sentence',\n initialState:initialState.sentence,\n reducers: {\n addPrediction: (state, action: PayloadAction) => {\n state.predictions.push(action.payload);\n },\n addWord: (state, action: PayloadAction) => {\n state.predictions = [];\n state.words.push(action.payload);\n },\n logWords: (state) => {\n state.log.unshift(state.words);\n state.words = [];\n },\n },\n})\n\n\nexport default settingsSlice.reducer\nexport const store = configureStore({\n reducer: { settings: settingsSlice.reducer, sentence: sentenceSlice.reducer },\n})\n\n// Infer the `RootState` and `AppDispatch` types from the store itself\nexport type RootState = ReturnType\n// Inferred type: {posts: PostsState, comments: CommentsState, users: UsersState}\nexport type AppDispatch = typeof store.dispatch\n\nexport const getState = store.getState;\nexport const dispatch = store.dispatch;","import React from 'react';\nimport Button from '@material-ui/core/Button';\nimport Dialog from '@material-ui/core/Dialog';\nimport DialogActions from '@material-ui/core/DialogActions';\nimport DialogContent from '@material-ui/core/DialogContent';\nimport DialogContentText from '@material-ui/core/DialogContentText';\nimport DialogTitle from '@material-ui/core/DialogTitle';\nimport Slider from '@material-ui/core/Slider';\nimport FormControlLabel from '@material-ui/core/FormControlLabel';\nimport Switch from '@material-ui/core/Switch';\nimport { useSelector, useDispatch } from 'react-redux'\nimport { RootState, AppDispatch, settingsSlice } from './store';\nimport FormGroup from '@material-ui/core/FormGroup';\n\nfunction valuetext(value: number) {\n return `${value}%`;\n}\n\nexport default function SettingsDialog(props: { open: boolean, handleClose: () => void }) {\n const { open, handleClose } = props;\n const settings = useSelector((state: RootState) => state.settings)\n const dispatch: AppDispatch = useDispatch()\n\n return (\n
\n \n \n Settings\n \n \n \n \n dispatch(settingsSlice.actions.setThreshold(value as number))}\n />\n }\n label=\"Accuracy threshold\"\n labelPlacement=\"top\"\n />\n\n dispatch(settingsSlice.actions.setShowStats(event.target.checked))}\n name=\"showStats\"\n color=\"primary\"\n />\n }\n label=\"Show Stats\"\n />\n\n dispatch(settingsSlice.actions.setSpeakAlong(event.target.checked))}\n name=\"showStats\"\n color=\"primary\"\n />\n }\n label=\"Speak along signing\"\n />\n \n \n \n \n \n \n \n
\n );\n}","import { Camera } from \"@mediapipe/camera_utils\";\nimport { Hands, NormalizedLandmarkList, Results } from \"@mediapipe/hands\";\nimport * as tf from '@tensorflow/tfjs'\nimport { dispatch, getState, sentenceSlice } from \"./store\";\n\nvar model: tf.LayersModel;\n\nvar actions: string[] = [];\n// var franco: {[key:string]: string};\n\nvar keypoints = [];\nvar sequence: number[][] = [];\n\nvar predictions: string[] = [];\nvar words: string[] = [];\n\nconst zeros = new Array(63).fill(0);\nexport const extractKeypoints = (landmarks: NormalizedLandmarkList) => {\n return landmarks.reduce(\n function (accumulator, currentValue) {\n return accumulator.concat([currentValue.x, currentValue.y, currentValue.z])\n },\n [] as number[]\n )\n}\nexport function mode(arr: any[]) {\n return arr.sort((a, b) =>\n arr.filter(v => v === a).length\n - arr.filter(v => v === b).length\n ).pop();\n}\n\nfunction extractSequence(results: Results) {\n\n if (results.multiHandLandmarks && results.multiHandedness) {\n var lh = zeros;\n var rh = zeros;\n\n for (let index = 0; index < results.multiHandLandmarks.length; index++) {\n const classification = results.multiHandedness[index];\n const isRightHand = classification.label === 'Right';\n const landmarks = results.multiHandLandmarks[index];\n\n if (isRightHand) {\n rh = extractKeypoints(landmarks)\n }\n else {\n lh = extractKeypoints(landmarks)\n }\n }\n\n keypoints = [...lh, ...rh]\n sequence.push(keypoints)\n }\n\n}\n\nexport async function loadModel() {\n const modelURL = 'model/model.json';\n model = await tf.loadLayersModel(modelURL);\n}\n\nexport async function loadActions() {\n const response = await fetch(\"/model.csv\");\n const data = await response.text();\n actions = data.split(\",\");\n // await loadFranco();\n}\n\n// async function loadFranco() {\n// const response = await fetch(\"/franco.json\");\n// franco = await response.json();\n// }\n\nexport async function loadVideoFeed(el: HTMLVideoElement) {\n const hands = new Hands({\n locateFile: (file) => {\n return `/hands/${file}`;\n }\n });\n hands.setOptions({\n maxNumHands: 2,\n minDetectionConfidence: 0.5,\n minTrackingConfidence: 0.5\n });\n hands.onResults(onResults);\n await hands.initialize()\n if (el) {\n new Camera(el, {\n onFrame: async () => {\n await hands.send({ image: el });\n },\n }).start()\n }\n\n}\nconst makePrediction = (sequence: number[][]) => {\n let tensor: tf.Tensor3D = tf.tensor([sequence]);\n let outputTensor = model.predict(tensor)\n let res = (outputTensor as tf.Tensor3D).dataSync()\n let max = Math.max(...res)\n let argmax = [...res].indexOf(max);\n\n const threshold = getState().settings.threshold / 100\n if (max >= threshold) {\n console.log(actions[argmax], max);\n return actions[argmax]\n }\n return null;\n\n}\n\nfunction onResults(results: Results) {\n extractSequence(results)\n if (sequence.length === 2) {\n const prediction = makePrediction(sequence);\n const isNew = prediction !== words[words.length - 1];\n const isStable = predictions.length > 4 && prediction === mode(predictions);\n\n if (prediction) {\n predictions.push(prediction);\n dispatch(sentenceSlice.actions.addPrediction(prediction))\n }\n\n if (prediction && isNew && isStable) {\n words.push(prediction);\n predictions = [];\n dispatch(sentenceSlice.actions.addWord(prediction));\n const speakAlong = getState().settings.speakAlong;\n if (speakAlong) try {\n // speechSynthesis.speak(new SpeechSynthesisUtterance(franco[prediction]));\n new Audio(`/audio/${prediction}.mp3`).play();\n } catch (error) { } \n }\n sequence = []\n }\n\n}\n\nexport function logWords() {\n // const sentenceWords = getState().sentence.words;\n // const francoWords = sentenceWords.map(word => franco[word])\n // speechSynthesis.speak(new SpeechSynthesisUtterance(francoWords.join(\" \")));\n dispatch(sentenceSlice.actions.logWords());\n words = []\n}\n\nexport function getCounts(arr: string[]) {\n let countedWords = arr.reduce(function (counts, word) {\n if (word in counts) {\n counts[word]++\n }\n else {\n counts[word] = 1\n }\n return counts\n }, {} as { [key: string]: number })\n return countedWords;\n}\n\n","import React, { useEffect, useRef } from 'react';\nimport { useSelector } from 'react-redux'\nimport './App.css';\nimport Webcam from 'react-webcam';\nimport AppBar from '@material-ui/core/AppBar';\nimport Toolbar from '@material-ui/core/Toolbar';\nimport Typography from '@material-ui/core/Typography';\nimport IconButton from '@material-ui/core/IconButton';\nimport SettingsIcon from '@material-ui/icons/Settings';\nimport SettingsDialog from './Settings';\nimport { RootState } from './store';\nimport { getCounts, loadActions, loadModel, loadVideoFeed, logWords } from './util';\nimport CircularProgress from '@material-ui/core/CircularProgress';\nimport RecordVoiceOverIcon from '@material-ui/icons/RecordVoiceOver';\nimport { ThemeProvider } from '@material-ui/core/styles';\nimport { createTheme } from '@material-ui/core/styles';\nimport TypeWriter from 'react-typewriter';\n\nconst theme = createTheme({\n palette: {\n primary: {\n light: '#ffce42',\n main: '#ffbd00',\n dark: '#bd8c00',\n contrastText: '#fff',\n },\n },\n});\n\nfunction App() {\n const webcamRef: React.Ref = useRef(null);\n const [settingsOpen, setSettingsOpen] = React.useState(false);\n const [loading, setLoading] = React.useState(true);\n const settings = useSelector((state: RootState) => state.settings)\n const sentence = useSelector((state: RootState) => state.sentence)\n\n const handleClickOpenSettings = () => {\n setSettingsOpen(true);\n };\n\n const handleCloseSettings = () => {\n setSettingsOpen(false);\n };\n\n useEffect(() => {\n const init = async () => {\n await loadActions()\n await loadModel();\n if (webcamRef.current?.video) await loadVideoFeed(webcamRef.current?.video)\n setLoading(false)\n }\n init()\n }, []);\n\n\n return (\n \n \n \n
\n \"logo\"\n IHearU\n
\n \n \n \n \n \n
\n {(!loading && settings.showStats) &&
\n {/*
Threshold: {settings.threshold}%
*/}\n
\n {Object.keys(getCounts(sentence.predictions)).map(word =>\n {word}: {getCounts(sentence.predictions)[word]} )}\n
\n
}\n \n \n {loading &&
\n \"IHearU\n

Loading detection models

\n
\n }\n {!loading &&
\n
\n {sentence.words.join(\" \")}\n \n \n \n
\n\n
\n {sentence.log.map((sentence, i) =>\n

{sentence.join(\" \")}

\n )}\n
\n
}\n
\n \n );\n}\n\nexport default App;\n","// This optional code is used to register a service worker.\n// register() is not called by default.\n\n// This lets the app load faster on subsequent visits in production, and gives\n// it offline capabilities. However, it also means that developers (and users)\n// will only see deployed updates on subsequent visits to a page, after all the\n// existing tabs open on the page have been closed, since previously cached\n// resources are updated in the background.\n\n// To learn more about the benefits of this model and instructions on how to\n// opt-in, read https://cra.link/PWA\n\nconst isLocalhost = Boolean(\n window.location.hostname === 'localhost' ||\n // [::1] is the IPv6 localhost address.\n window.location.hostname === '[::1]' ||\n // 127.0.0.0/8 are considered localhost for IPv4.\n window.location.hostname.match(/^127(?:\\.(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)){3}$/)\n);\n\ntype Config = {\n onSuccess?: (registration: ServiceWorkerRegistration) => void;\n onUpdate?: (registration: ServiceWorkerRegistration) => void;\n};\n\nexport function register(config?: Config) {\n if (process.env.NODE_ENV === 'production' && 'serviceWorker' in navigator) {\n // The URL constructor is available in all browsers that support SW.\n const publicUrl = new URL(process.env.PUBLIC_URL, window.location.href);\n if (publicUrl.origin !== window.location.origin) {\n // Our service worker won't work if PUBLIC_URL is on a different origin\n // from what our page is served on. This might happen if a CDN is used to\n // serve assets; see https://github.com/facebook/create-react-app/issues/2374\n return;\n }\n\n window.addEventListener('load', () => {\n const swUrl = `${process.env.PUBLIC_URL}/service-worker.js`;\n\n if (isLocalhost) {\n // This is running on localhost. Let's check if a service worker still exists or not.\n checkValidServiceWorker(swUrl, config);\n\n // Add some additional logging to localhost, pointing developers to the\n // service worker/PWA documentation.\n navigator.serviceWorker.ready.then(() => {\n console.log(\n 'This web app is being served cache-first by a service ' +\n 'worker. To learn more, visit https://cra.link/PWA'\n );\n });\n } else {\n // Is not localhost. Just register service worker\n registerValidSW(swUrl, config);\n }\n });\n }\n}\n\nfunction registerValidSW(swUrl: string, config?: Config) {\n navigator.serviceWorker\n .register(swUrl)\n .then((registration) => {\n registration.onupdatefound = () => {\n const installingWorker = registration.installing;\n if (installingWorker == null) {\n return;\n }\n installingWorker.onstatechange = () => {\n if (installingWorker.state === 'installed') {\n if (navigator.serviceWorker.controller) {\n // At this point, the updated precached content has been fetched,\n // but the previous service worker will still serve the older\n // content until all client tabs are closed.\n console.log(\n 'New content is available and will be used when all ' +\n 'tabs for this page are closed. See https://cra.link/PWA.'\n );\n\n // Execute callback\n if (config && config.onUpdate) {\n config.onUpdate(registration);\n }\n } else {\n // At this point, everything has been precached.\n // It's the perfect time to display a\n // \"Content is cached for offline use.\" message.\n console.log('Content is cached for offline use.');\n\n // Execute callback\n if (config && config.onSuccess) {\n config.onSuccess(registration);\n }\n }\n }\n };\n };\n })\n .catch((error) => {\n console.error('Error during service worker registration:', error);\n });\n}\n\nfunction checkValidServiceWorker(swUrl: string, config?: Config) {\n // Check if the service worker can be found. If it can't reload the page.\n fetch(swUrl, {\n headers: { 'Service-Worker': 'script' },\n })\n .then((response) => {\n // Ensure service worker exists, and that we really are getting a JS file.\n const contentType = response.headers.get('content-type');\n if (\n response.status === 404 ||\n (contentType != null && contentType.indexOf('javascript') === -1)\n ) {\n // No service worker found. Probably a different app. Reload the page.\n navigator.serviceWorker.ready.then((registration) => {\n registration.unregister().then(() => {\n window.location.reload();\n });\n });\n } else {\n // Service worker found. Proceed as normal.\n registerValidSW(swUrl, config);\n }\n })\n .catch(() => {\n console.log('No internet connection found. App is running in offline mode.');\n });\n}\n\nexport function unregister() {\n if ('serviceWorker' in navigator) {\n navigator.serviceWorker.ready\n .then((registration) => {\n registration.unregister();\n })\n .catch((error) => {\n console.error(error.message);\n });\n }\n}\n","import { ReportHandler } from 'web-vitals';\n\nconst reportWebVitals = (onPerfEntry?: ReportHandler) => {\n if (onPerfEntry && onPerfEntry instanceof Function) {\n import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {\n getCLS(onPerfEntry);\n getFID(onPerfEntry);\n getFCP(onPerfEntry);\n getLCP(onPerfEntry);\n getTTFB(onPerfEntry);\n });\n }\n};\n\nexport default reportWebVitals;\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport './index.css';\nimport App from './App';\nimport * as serviceWorkerRegistration from './serviceWorkerRegistration';\nimport reportWebVitals from './reportWebVitals';\n\nimport { store } from './store'\nimport { Provider } from 'react-redux'\n\nReactDOM.render(\n \n \n ,\n document.getElementById('root')\n);\n\n// If you want your app to work offline and load faster, you can change\n// unregister() to register() below. Note this comes with some pitfalls.\n// Learn more about service workers: https://cra.link/PWA\nserviceWorkerRegistration.register();\n\n// If you want to start measuring performance in your app, pass a function\n// to log results (for example: reportWebVitals(console.log))\n// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals\nreportWebVitals();\n"],"sourceRoot":""} \ No newline at end of file