import { FontAwesomeIcon } from '@fortawesome/react-fontawesome'; import { Tooltip } from '@mui/material'; import axios from 'axios'; import { IReactionDisposer, action, computed, makeObservable, observable, reaction, runInAction } from 'mobx'; import { observer } from 'mobx-react'; import * as React from 'react'; import ReactLoading from 'react-loading'; import { imageUrlToBase64, returnFalse, returnNone, returnTrue, returnZero, setupMoveUpEvents } from '../../../ClientUtils'; import { emptyFunction } from '../../../Utils'; import { Doc, Opt } from '../../../fields/Doc'; import { Animation, DocData } from '../../../fields/DocSymbols'; import { RichTextField } from '../../../fields/RichTextField'; import { BoolCast, DocCast, NumCast, RTFCast, StrCast, toList } from '../../../fields/Types'; import { nullAudio } from '../../../fields/URLField'; import { GPTCallType, gptAPICall, gptImageLabel } from '../../apis/gpt/GPT'; import { DocUtils, FollowLinkScript } from '../../documents/DocUtils'; import { DocumentType } from '../../documents/DocumentTypes'; import { Docs } from '../../documents/Documents'; import { DragManager } from '../../util/DragManager'; import { dropActionType } from '../../util/DropActionTypes'; import { undoable } from '../../util/UndoManager'; import { ContextMenu } from '../ContextMenu'; import { ViewBoxAnnotatableComponent } from '../DocComponent'; import { PinDocView, PinProps } from '../PinFuncs'; import { StyleProp } from '../StyleProp'; import { flashcardRevealOp, practiceMode } from '../collections/FlashcardPracticeUI'; import { CollectionFreeFormView } from '../collections/collectionFreeForm'; import '../pdf/GPTPopup/GPTPopup.scss'; import './ComparisonBox.scss'; import { DocumentView } from './DocumentView'; import { FieldView, FieldViewProps } from './FieldView'; import { FormattedTextBox } from './formattedText/FormattedTextBox'; const API_URL = 'https://api.unsplash.com/search/photos'; /** * This view serves two distinct functions depending on the revealOp field ('slide' or 'flip) * 1) ('slide') - provides a before/after animated sliding transition between two Docs * 2) ('flip') - provides a question/answer flip between two Docs * And a third function that overrides the first two if the doc's container has its 'practiceMode' set to 'quiz' * 3) ('quiz') - it provides a quiz view that displays a question and a user answer that can be "scored" by GPT * NOTE: this should probably be changed to passing down a prop to the flashcard telling it to render as a quiz. * * In each case, the two docs are stored in the _front and _back fields * * For 'flip' and 'slide', the trigger can either be clicking, or hovering as determined by the revealOp_hover field. * For 'quiz' the data of both Docs are shown in a single-view quiz display. * * Users can create a stack of flashcards all at once (only) from an empty flashcard by entering a topic into the front card * and clicking on the flashcard stack button. This will convert the comparision box into a stack of comparison boxes * filled in by GPT about the topic. * */ @observer export class ComparisonBox extends ViewBoxAnnotatableComponent() { public static LayoutString(fieldKey: string) { return FieldView.LayoutString(ComparisonBox, fieldKey); } /** * Creates a flashcard (or fills in flashcard data to a specified Doc) from a control string containing a question and answer * @param tuple string containing Question:, Answer: and optionally a Keyword: * @param useDoc doc to fill in instead of creating a Doc * @returns the resulting flashcard Doc */ public static createFlashcard(tuple3: string, frontKey: string, backKey: string, useDoc?: Doc) { const [qtoken, ktoken, atoken] = [ComparisonBox.qtoken, ComparisonBox.ktoken, ComparisonBox.atoken]; const [title, tuple] = tuple3.split(qtoken); const question = (tuple.includes(ktoken) ? tuple.split(ktoken)[0] : tuple).split(atoken)[0]; const rest = tuple.replace(question, ''); // prettier-ignore const answer = rest.startsWith(ktoken) ? // if keyword comes first, tuple.includes(atoken) ? tuple.split(atoken)[1] : "" : //if tuple includes answer, split at answer and take what's left, otherwise there's no answer rest.includes(ktoken) ? // otherwise if keyword is present it must come after answer, rest.split(ktoken)[0].split(atoken)[1] : // split at keyword and take what comes first and split that at answer and take what's left rest.replace(atoken,""); // finally if there's no keyword, just get rid of answer token and take what's left const keyword = rest.replace(atoken, '').replace(answer, '').replace(ktoken, '').trim(); const fillInFlashcard = (img?: Doc) => { const front = Docs.Create.CenteredTextCreator('question', question, {}, img); const back = Docs.Create.CenteredTextCreator('answer', answer, {}); if (useDoc) { useDoc[DocData][frontKey] = front; useDoc[DocData][backKey] = back; return useDoc; } return Docs.Create.FlashcardDocument(title, front, back, { _width: 300, _height: 300 }); }; return keyword && keyword.toLowerCase() !== 'none' ? ComparisonBox.fetchImages(keyword).then(img => fillInFlashcard(img)) : fillInFlashcard(); } /** * Create a carousel of flashcards from a GPT response string where questions and answers are given in a format loosely defined by: * Question: ... Answer: ... Keyword: ... * Note that Keyword or Answer may not be present, or their orders may be reversed. */ public static createFlashcardDeck(text: string, width: number, height: number, front: string, back: string) { return Promise.all( text .toLowerCase() .split(ComparisonBox.ttoken) .filter(t => t) .map(tuple => ComparisonBox.createFlashcard(tuple, front, back)) ).then(docs => { return Docs.Create.CarouselDocument(docs, { title: text, _width: width, _height: height, _layout_fitWidth: false, _layout_autoHeight: true, _xMargin: 5, _yMargin: 5, }); }); } private SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; static qtoken = 'question: '; static ktoken = 'keyword: '; static atoken = 'answer: '; static ttoken = 'title: '; private _slideTiming = 200; private _sideBtnWidth = 35; private _closeRef = React.createRef(); private _disposers: { [key: string]: DragManager.DragDropDisposer | undefined } = {}; private _reactDisposer: { [key: string]: IReactionDisposer } = {}; @observable private _inputValue = ''; @observable private _outputValue = ''; @observable private _loading = false; @observable private _childActive = false; @observable private _animating = ''; @observable private _listening = false; @observable private _renderSide = this.frontKey; @observable private _recognition = new this.SpeechRecognition(); constructor(props: FieldViewProps) { super(props); makeObservable(this); } componentDidMount() { this._props.setContentViewBox?.(this); this._reactDisposer.select = reaction( () => this._props.isSelected(), selected => { if (selected && this.revealOp !== flashcardRevealOp.SLIDE) this.activateContent(); !selected && (this._childActive = false); }, // what it should update to { fireImmediately: true } ); this._reactDisposer.hover = reaction( () => this._props.isContentActive(), hover => { if (!hover) { this.revealOp === flashcardRevealOp.FLIP && this.animateFlipping(this.frontKey); this.revealOp === flashcardRevealOp.SLIDE && this.animateSliding(this._props.PanelWidth() - 3); } }, // what it should update to { fireImmediately: true } ); } componentWillUnmount() { Object.values(this._reactDisposer).forEach(disposer => disposer?.()); } protected createDropTarget = (ele: HTMLDivElement | null, fieldKey: string) => { this._disposers[fieldKey]?.(); if (ele) { this._disposers[fieldKey] = DragManager.MakeDropTarget(ele, (e, dropEvent) => this.internalDrop(e, dropEvent, fieldKey), this.layoutDoc); } }; private internalDrop = undoable((e: Event, dropEvent: DragManager.DropEvent, fieldKey: string) => { if (dropEvent.complete.docDragData) { const { droppedDocuments } = dropEvent.complete.docDragData; const added = dropEvent.complete.docDragData.moveDocument?.(droppedDocuments, this.Document, (doc: Doc | Doc[]) => this.addDoc(toList(doc).lastElement(), fieldKey)); Doc.SetContainer(droppedDocuments.lastElement(), this.dataDoc); !added && e.preventDefault(); e.stopPropagation(); // prevent parent Doc from registering new position so that it snaps back into place // this.childActive = false; return added; } return undefined; }, 'internal drop'); @computed get containerDoc() { return this._props.docViewPath().slice(-2)[0]?.Document; } // prettier-ignore @computed get isQuizMode() { return this.containerDoc?.practiceMode === practiceMode.QUIZ; } // prettier-ignore @computed get isFlashcard() { return StrCast(this.Document.layout_flashcardType); } // prettier-ignore @computed get frontKey() { return this._props.fieldKey + '_front'; } // prettier-ignore @computed get backKey() { return this._props.fieldKey + '_back'; } // prettier-ignore @computed get frontText() { return RTFCast(DocCast(this.dataDoc[this.frontKey]).text)?.Text; } // prettier-ignore @computed get backText() { return RTFCast(DocCast(this.dataDoc[this.backKey]).text)?.Text; } // prettier-ignore @computed get revealOpKey() { return `_${this._props.fieldKey}_revealOp`; } // prettier-ignore @computed get clipHeightKey() { return `_${this._props.fieldKey}_clipHeight`; } // prettier-ignore @computed get clipWidthKey() { return `_${this._props.fieldKey}_clipWidth`; } // prettier-ignore @computed get clipWidth() { return NumCast(this.layoutDoc[this.clipWidthKey], this.isFlashcard ? 100: 50); } // prettier-ignore @computed get clipHeight() { return NumCast(this.layoutDoc[this.clipHeightKey], 200); } // prettier-ignore @computed get revealOp() { return StrCast(this.layoutDoc[this.revealOpKey], StrCast(this.containerDoc?.revealOp, this.isFlashcard ? flashcardRevealOp.FLIP : flashcardRevealOp.SLIDE)) as flashcardRevealOp; } // prettier-ignore @computed get revealOpHover() { return BoolCast(this.layoutDoc[this.revealOpKey+"_hover"], BoolCast(this.containerDoc?.revealOp_hover)); } // prettier-ignore @computed get loading() { return this._loading; } // prettier-ignore set loading(value) { runInAction(() => { this._loading = value; })} // prettier-ignore @computed get overlayAlternateIcon() { return ( flip}>
setupMoveUpEvents(e.target, e, returnFalse, emptyFunction, () => { if (!this.revealOp || this.revealOp === flashcardRevealOp.FLIP) { this.animateFlipping(); } }) } style={{ background: this.revealOpHover ? 'gray' : this._renderSide === this.backKey ? 'white' : 'black', color: this.revealOpHover ? 'black' : this._renderSide === this.backKey ? 'black' : 'white', display: 'inline-block', }}>
); } /** * How much the content of the view is being scaled based on its nesting and its fit-to-width settings */ @computed get viewScaling() { return this.ScreenToLocalBoxXf().Scale; } // prettier-ignore /** * The maximum size a UI widget can be scaled so that it won't be bigger in screen pixels than its normal 35 pixel size. */ @computed get maxWidgetSize() { return Math.min(this._sideBtnWidth * this.viewScaling, 0.25 * Math.min(NumCast(this.Document.width), NumCast(this.Document.height))); } // prettier-ignore /** * How much to reactively scale a UI element so that it is as big as it can be (up to its normal 35pixel size) without being too big for the Doc content */ @computed get uiBtnScaling() { return Math.max(this.maxWidgetSize / this._sideBtnWidth, 1) * Math.min(1, this.viewScaling)* (this._props.NativeDimScaling?.() ?? 1); } // prettier-ignore @computed get flashcardMenu() { return (
{this.revealOpHover || !this._props.isSelected() ? null : this.overlayAlternateIcon} {!this._props.isSelected() || this._renderSide === this.frontKey ? null : ( Ask GPT to create an answer for the question on the front
}>
this.askGPT(GPTCallType.CHATCARD)}>
)} {!this._props.isSelected() || this._renderSide === this.backKey || !CollectionFreeFormView.from(this.DocumentView?.()) || (this.dataDoc[this.backKey] && !DocCast(this.dataDoc[this.backKey])?.text_placeholder) ? null : ( Create new flashcard stack based on text}>
this.askGPT(GPTCallType.STACK).then(async text => { const newCol = await ComparisonBox.createFlashcardDeck(text, NumCast(this.layoutDoc._width, 250) + 50, NumCast(this.layoutDoc._height, 200), this.frontKey, this.backKey); newCol.x = NumCast(this.layoutDoc.x); newCol.y = NumCast(this.layoutDoc.y); this._props.DocumentView?.()._props.addDocument?.(newCol); this._props.removeDocument?.(this.Document); }) }>
)} ); } @action activateContent = () => { this._childActive = true; }; @action handleRenderGPTClick = () => { const phonTrans = DocCast(this.Document.audio) ? DocCast(this.Document.audio).phoneticTranscription : undefined; if (phonTrans) { this._inputValue = StrCast(phonTrans); this.askGPTPhonemes(this._inputValue); this._renderSide = this.backKey; this._outputValue = ''; } else if (this._inputValue) this.askGPT(GPTCallType.QUIZ); }; onPointerMove = ({ movementX }: PointerEvent) => { const width = movementX * this.ScreenToLocalBoxXf().Scale + (this.clipWidth / 100) * this._props.PanelWidth(); if (width && width > 5 && width < this._props.PanelWidth()) { this.layoutDoc[this.clipWidthKey] = (width * 100) / this._props.PanelWidth(); } return false; }; getAnchor = (addAsAnnotation: boolean, pinProps?: PinProps) => { const anchor = Docs.Create.ConfigDocument({ title: 'CompareAnchor:' + this.Document.title, // set presentation timing properties for restoring view presentation_transition: 1000, annotationOn: this.Document, }); if (anchor) { if (!addAsAnnotation) anchor.backgroundColor = 'transparent'; /* addAsAnnotation && */ this.addDocument(anchor); PinDocView(anchor, { pinDocLayout: pinProps?.pinDocLayout, pinData: { ...(pinProps?.pinData ?? {}), clippable: true } }, this.Document); return anchor; } return this.Document; }; clearDoc = undoable((fieldKey: string) => { this.dataDoc[fieldKey] = undefined; }, 'clear doc'); moveDoc = (doc: Doc, addDocument: (document: Doc | Doc[]) => boolean, which: string) => this.remDoc(doc, which) && addDocument(doc); addDoc = (doc: Doc, which: string) => { this.dataDoc[which] = doc; return true; }; remDoc = (doc: Doc, which: string) => { if (this.dataDoc[which] === doc) { this.dataDoc[which] = undefined; return true; } return false; }; closeDown = (e: React.PointerEvent, which: string) => { setupMoveUpEvents( this, e, moveEv => { const de = new DragManager.DocumentDragData([DocCast(this.dataDoc[which])], dropActionType.move); de.moveDocument = (doc: Doc | Doc[], targetCollection: Doc | undefined, addDocument: (doc: Doc | Doc[]) => boolean): boolean => addDocument(doc); de.canEmbed = true; DragManager.StartDocumentDrag([this._closeRef.current!], de, moveEv.clientX, moveEv.clientY); return true; }, emptyFunction, () => this.clearDoc(which) ); }; docStyleProvider = (doc: Opt, props: Opt, property: string) => { switch (property) { case StyleProp.PointerEvents: return 'none'; default: return this._props.styleProvider?.(doc, props, property); } // prettier-ignore }; moveDocFront = (docs: Doc | Doc[], targetCol: Doc | undefined, addDoc: (doc: Doc | Doc[]) => boolean) => toList(docs).reduce((res, doc: Doc) => res && this.moveDoc(doc, addDoc, this.frontKey), true); moveDocBack = (docs: Doc | Doc[], targetCol: Doc | undefined, addDoc: (doc: Doc | Doc[]) => boolean) => toList(docs).reduce((res, doc: Doc) => res && this.moveDoc(doc, addDoc, this.backKey), true); remDocFront = (docs: Doc | Doc[]) => toList(docs).reduce((res, doc) => res && this.remDoc(doc, this.frontKey), true); remDocBack = (docs: Doc | Doc[]) => toList(docs).reduce((res, doc) => res && this.remDoc(doc, this.backKey), true); animateSliding = action((targetWidth: number) => { this._animating = `all ${this._slideTiming}ms`; // on click, animate slider movement to the targetWidth this.layoutDoc[this.clipWidthKey] = (targetWidth * 100) / this._props.PanelWidth(); setTimeout(action(() => {this._animating = ''; }), this._slideTiming); // prettier-ignore }); _flipAnim: NodeJS.Timeout | undefined; animateFlipping = action((side?: string) => { if (side !== this._renderSide) { this._renderSide = side ?? (this._renderSide === this.frontKey ? this.backKey : this.frontKey); // switches to new front this._animating = '0'; // reveals old front on the bottom layer by making top layer transparent setTimeout( action(() => { this._animating = `all ${this._slideTiming * 5}ms`; // makes new front fade in clearTimeout(this._flipAnim); this._flipAnim = setTimeout( action(() => { this._animating = ''; }), this._slideTiming * 5 ); // prettier-ignore }) ); } }); registerSliding = (e: React.PointerEvent, targetWidth: number) => { if (e.button !== 2) { setupMoveUpEvents( this, e, this.onPointerMove, emptyFunction, action((moveEv, doubleTap) => { if (doubleTap) { this._childActive = true; if (!this.dataDoc[this.frontKey] && !this.dataDoc[this.fieldKey]) this.dataDoc[this.frontKey] = DocUtils.copyDragFactory(Doc.UserDoc().emptyNote as Doc); if (!this.dataDoc[this.backKey] && !this.dataDoc[this.fieldKey + '_alternate']) this.dataDoc[this.backKey] = DocUtils.copyDragFactory(Doc.UserDoc().emptyNote as Doc); } }), false, undefined, action(() => !this._childActive && this.animateSliding(targetWidth)) ); } }; /** * Set up speech to text tool. */ setListening = () => { if (this.SpeechRecognition) { this._recognition.continuous = true; this._recognition.interimResults = true; this._recognition.lang = 'en-US'; this._recognition.onresult = this.handleResult.bind(this); } ContextMenu.Instance.setLangIndex(0); }; startListening = () => { this._recognition.start(); this._listening = true; }; stopListening = () => { this._recognition.stop(); this._listening = false; }; setLanguage = (language: string, ind: number) => { this._recognition.lang = language; ContextMenu.Instance.setLangIndex(ind); }; /** * Determine which language the speech to text tool is in. * @returns */ convertAbr = () => { switch (this._recognition.lang) { case 'en-US': return 'English'; //prettier-ignore case 'es-ES': return 'Spanish'; //prettier-ignore case 'fr-FR': return 'French'; //prettier-ignore case 'it-IT': return 'Italian'; //prettier-ignore case 'zh-CH': return 'Mandarin Chinese'; //prettier-ignore case 'ja': return 'Japanese'; //prettier-ignore default: return 'Korean'; //prettier-ignore } }; openContextMenu = (x: number, y: number, evalu: boolean) => { ContextMenu.Instance.clearItems(); ContextMenu.Instance.addItem({ description: 'English', event: () => this.setLanguage('en-US', 0), icon: 'question' }); //prettier-ignore ContextMenu.Instance.addItem({ description: 'Spanish', event: () => this.setLanguage('es-ES', 1 ), icon: 'question'}); //prettier-ignore ContextMenu.Instance.addItem({ description: 'French', event: () => this.setLanguage('fr-FR', 2), icon: 'question' }); //prettier-ignore ContextMenu.Instance.addItem({ description: 'Italian', event: () => this.setLanguage('it-IT', 3), icon: 'question' }); //prettier-ignore if (!evalu) ContextMenu.Instance.addItem({ description: 'Mandarin Chinese', event: () => this.setLanguage('zh-CH', 4), icon: 'question' }); //prettier-ignore ContextMenu.Instance.addItem({ description: 'Japanese', event: () => this.setLanguage('ja', 5), icon: 'question' }); //prettier-ignore ContextMenu.Instance.addItem({ description: 'Korean', event: () => this.setLanguage('ko', 6), icon: 'question' }); //prettier-ignore ContextMenu.Instance.displayMenu(x, y); }; /** * Creates an AudioBox to record a user's audio. */ evaluatePronunciation = () => { const newAudio = Docs.Create.AudioDocument(nullAudio, { _width: 200, _height: 100 }); this.Document.audio = newAudio[DocData]; this._props.DocumentView?.()._props.addDocument?.(newAudio); }; /** * Gets the transcription of an audio recording by sending the * recording to backend. */ pushInfo = () => axios .post( 'http://localhost:105/recognize/', // { file: DocCast(this.Document.audio)[DocData].url }, { headers: { 'Content-Type': 'application/json' } } ) .then(response => { this.Document.phoneticTranscription = response.data.transcription; }); /** * Extracts the id of the youtube video url. * @param url * @returns */ getYouTubeVideoId = (url: string) => { const regExp = /^.*(youtu.be\/|v\/|u\/\w\/|embed\/|watch\?v=|&v=|\?v=)([^#&?]*).*/; const match = url.match(regExp); return match && match[2].length === 11 ? match[2] : null; }; /** * Gets the transcript of a youtube video by sending the video url to the backend. * @returns transcription of youtube recording */ youtubeUpload = async () => axios .post( 'http://localhost:105/youtube/', // { file: this.getYouTubeVideoId(this.frontText) }, { headers: { 'Content-Type': 'application/json' } } ) .then(response => response.data.transcription); /** * Calls GPT for each flashcard type. */ askGPT = async (callType: GPTCallType) => { const questionText = 'Question: ' + this.frontText; const queryText = questionText + (callType == GPTCallType.QUIZ ? ' UserAnswer: ' + this._inputValue + '. ' + ' Rubric: ' + this.backText : ''); this.loading = true; const res = !this.frontText ? '' : await gptAPICall(queryText, callType).then( action(resp => { switch (resp && callType) { case GPTCallType.CHATCARD: DocCast(this.dataDoc[this.backKey])[DocData].text = resp; break; case GPTCallType.QUIZ: this._renderSide = this.backKey; this._outputValue = resp.replace(/UserAnswer/g, "user's answer").replace(/Rubric/g, 'rubric'); break; case GPTCallType.FLASHCARD: default: } return resp; }) ); this.loading = false; if (!res) console.error('GPT call failed'); return res; }; layoutWidth = () => NumCast(this.layoutDoc.width, 200); layoutHeight = () => NumCast(this.layoutDoc.height, 200); /** * Ask GPT for advice on how to improve speech by comparing the phonetic transcription of * a users audio recording with the phonetic transcription of their intended sentence. * @param phonemes */ askGPTPhonemes = async (phonemes: string) => { const sentence = this.frontText; const phon6 = 'huː ɑɹ juː tədeɪ'; const phon4 = 'kamo estas hɔi'; const promptEng = 'Consider all possible phonetic transcriptions of the intended sentence "' + sentence + '" that is standard in American speech without showing the user. Compare each word in the following phonemes with those phonetic transcriptions without displaying anything to the user: "' + phon6 + '". Steps to do this: Align the words with each word in the intended sentence by combining the phonemes to get a pronunciation that resembles the word in order. Do not describe phonetic corrections with the phonetic alphabet - describe it by providing other examples of how it should sound. Note if a word or sound missing, including missing vowels and consonants. If there is an additional word that does not match with the provided sentence, say so. For each word, if any letters mismatch and would sound weird in American speech and they are not allophones of the same phoneme and they are far away from each on the ipa vowel chat and that pronunciation is not normal for the meaning of the word, note this difference and explain how it is supposed to sound. Only note the difference if they are not allophones of the same phoneme and if they are far away on the vowel chart. The goal is to be understood, not sound like a native speaker. Just so you know, "i" sounds like "ee" as in "bee", not "ih" as an "lick". Interpret "ɹ" as the same as "r". Interpret "ʌ" as the same as "ə". If "ɚ", "ɔː", and "ɔ" are options for pronunciation, do not choose "ɚ". Ignore differences with colons. Ignore redundant letters and words and sounds and the splitting of words; do not mention this since there could be repeated words in the sentence. Provide a response like this: "Lets work on improving the pronunciation of "coffee." You said "ceeffee," which is close, but we need to adjust the vowel sound. In American English, "coffee" is pronounced /ˈkɔːfi/, with a long "aw" sound. Try saying "kah-fee." Your intonation is good, but try putting a bit more stress on "like" in the sentence "I would like a coffee with milk." This will make your speech sound more natural. Keep practicing, and lets try saying the whole sentence again!"'; const promptSpa = 'Consider all possible phonetic transcriptions of the intended sentence "' + 'como estás hoy' + '" that is standard in Spanish speech without showing the user. Compare each word in the following phonemes with those phonetic transcriptions without displaying anything to the user: "' + phon4 + '". Steps to do this: Align the words with each word in the intended sentence by combining the phonemes to get a pronunciation that resembles the word in order. Do not describe phonetic corrections with the phonetic alphabet - describe it by providing other examples of how it should sound. Note if a word or sound missing, including missing vowels and consonants. If there is an additional word that does not match with the provided sentence, say so. For each word, if any letters mismatch and would sound weird in Spanish speech and they are not allophones of the same phoneme and they are far away from each on the ipa vowel chat and that pronunciation is not normal for the meaning of the word, note this difference and explain how it is supposed to sound. Only note the difference if they are not allophones of the same phoneme and if they are far away on the vowel chart; say good job if it would be understood by a native Spanish speaker. Just so you know, "i" sounds like "ee" as in "bee", not "ih" as an "lick". Interpret "ɹ" as the same as "r". Interpret "ʌ" as the same as "ə". Do not make "θ" and "f" interchangable. Do not make "n" and "ɲ" interchangable. Do not make "e" and "i" interchangable. If "ɚ", "ɔː", and "ɔ" are options for pronunciation, do not choose "ɚ". Ignore differences with colons. Ignore redundant letters and words and sounds and the splitting of words; do not mention this since there could be repeated words in the sentence. Identify "ɔi" sounds like "oy". Ignore accents and do not say anything to the user about this.'; const promptAll = 'Consider all possible phonetic transcriptions of the intended sentence "' + sentence + '" that is standard in ' + this.convertAbr() + ' speech without showing the user. Compare each word in the following phonemes with those phonetic transcriptions without displaying anything to the user: "' + phonemes + '". Steps to do this: Align the words with each word in the intended sentence by combining the phonemes to get a pronunciation that resembles the word in order. Do not describe phonetic corrections with the phonetic alphabet - describe it by providing other examples of how it should sound. Note if a word or sound missing, including missing vowels and consonants. If there is an additional word that does not match with the provided sentence, say so. For each word, if any letters mismatch and would sound weird in ' + this.convertAbr() + ' speech and they are not allophones of the same phoneme and they are far away from each on the ipa vowel chat and that pronunciation is not normal for the meaning of the word, note this difference and explain how it is supposed to sound. Just so you know, "i" sounds like "ee" as in "bee", not "ih" as an "lick". Interpret "ɹ" as the same as "r". Interpret "ʌ" as the same as "ə". Do not make "θ" and "f" interchangable. Do not make "n" and "ɲ" interchangable. Do not make "e" and "i" interchangable. If "ɚ", "ɔː", and "ɔ" are options for pronunciation, do not choose "ɚ". Ignore differences with colons. Ignore redundant letters and words and sounds and the splitting of words; do not mention this since there could be repeated words in the sentence. Provide a response like this: "Lets work on improving the pronunciation of "coffee." You said "cawffee," which is close, but we need to adjust the vowel sound. In American English, "coffee" is pronounced /ˈkɔːfi/, with a long "aw" sound. Try saying "kah-fee." Your intonation is good, but try putting a bit more stress on "like" in the sentence "I would like a coffee with milk." This will make your speech sound more natural. Keep practicing, and lets try saying the whole sentence again!"'; switch (this._recognition.lang) { case 'en-US': this._outputValue = await gptAPICall(promptEng, GPTCallType.PRONUNCIATION); break; case 'es-ES': this._outputValue = await gptAPICall(promptSpa, GPTCallType.PRONUNCIATION); break; default: this._outputValue = await gptAPICall(promptAll, GPTCallType.PRONUNCIATION); break; } // prettier-ignore }; /** * Display a user's speech to text result. * @param e */ handleResult = (e: SpeechRecognitionEvent) => { let finalTranscript = ''; for (let i = e.resultIndex; i < e.results.length; i++) { const transcript = e.results[i][0].transcript; if (e.results[i].isFinal) { finalTranscript += transcript; } } this._inputValue += finalTranscript; }; /** * Get images from unsplash api and place that will be placed inside generated flashcard. * @param selection * @returns Image Document */ public static async fetchImages(selection: string) { try { const { data } = await axios.get(`${API_URL}?query=${selection}&page=1&per_page=${1}&client_id=Q4zruu6k6lum2kExiGhLNBJIgXDxD6NNj0SRHH_XXU0`); const imageSnapshot = Docs.Create.ImageDocument(data.results[0].urls.small, { onClick: FollowLinkScript(), _width: 150, _height: 150, title: selection, }); return imageSnapshot; } catch (error) { console.log(error); } } getImageDesc = async (u: string) => { try { const hrefBase64 = await imageUrlToBase64(u); const response = await gptImageLabel(hrefBase64, 'Answer the following question as a short flashcard response. Do not include a label.' + (this.dataDoc.text as RichTextField)?.Text); DocCast(this.dataDoc[this.backKey])[DocData].text = response; } catch (error) { console.log('Error', error); } }; flashcardContextMenu = () => { const appearance = ContextMenu.Instance.findByDescription('Appearance...'); const appearanceItems = appearance?.subitems ?? []; appearanceItems.push({ description: 'Create ChatCard', event: () => this.askGPT(GPTCallType.CHATCARD), icon: 'id-card' }); !appearance && ContextMenu.Instance.addItem({ description: 'Appearance...', subitems: appearanceItems, icon: 'eye' }); }; testForTextFields = (whichSlot: string) => { const slotData = Doc.Get(this.dataDoc, whichSlot, true); const slotHasText = slotData instanceof RichTextField || typeof slotData === 'string'; const subjectText = RTFCast(this.Document[this.fieldKey])?.Text.trim(); const altText = RTFCast(this.Document[this.fieldKey + '_alternate'])?.Text.trim(); const layoutTemplateString = slotHasText ? FormattedTextBox.LayoutString(whichSlot): whichSlot === this.frontKey ? (subjectText !== undefined ? FormattedTextBox.LayoutString(this.fieldKey) : undefined) : altText !== undefined ? FormattedTextBox.LayoutString(this.fieldKey + '_alternate'): undefined; // prettier-ignore // A bit hacky to try out the concept of using GPT to fill in flashcards // If the second slot doesn't have anything in it, but the fieldKey slot has text (e.g., this.text is a string) // and the fieldKey + "_alternate" has text that includes a GPT query (indicated by (( && )) ) that is parameterized (optionally) by the fieldKey text (this) or other metadata (this.). // eg., this.text_alternate is // "((Provide a one sentence definition for (this) that doesn't use any word in (this.excludeWords) ))" // where (this) is replaced by the text in the fieldKey slot abd this.excludeWords is repalced by the conetnts of the excludeWords field // The GPT call will put the "answer" in the second slot of the comparison (eg., text_0) if (whichSlot === this.backKey && !layoutTemplateString?.includes(whichSlot)) { const queryText = altText?.replace('(this)', subjectText); // TODO: this should be done in Doc.setField but it doesn't know about the fieldKey ... if (queryText?.match(/\(\(.*\)\)/)) { Doc.SetField(this.Document, whichSlot, ':=' + queryText, false); // make the second slot be a computed field on the data doc that calls ChatGpt } } return layoutTemplateString; }; childActiveFunc = () => this._childActive; contentScreenToLocalXf = () => this._props.ScreenToLocalTransform().scale(this._props.NativeDimScaling?.() || 1); clearButton = (which: string) => ( remove}>
this.closeDown(e, which)} // prevent triggering slider movement in registerSliding >
); displayDoc = (whichSlot: string) => { const whichDoc = DocCast(this.dataDoc[whichSlot]); const targetDoc = DocCast(whichDoc?.annotationOn, whichDoc); const layoutString = targetDoc ? '' : this.testForTextFields(whichSlot); return targetDoc || layoutString ? ( <> {!this.isFlashcard ? this.clearButton(whichSlot) : null} ) : (
); }; displayBox = (which: string, cover: number) => (
this.registerSliding(e, cover)} ref={ele => this.createDropTarget(ele, which)}> {this.displayDoc(which)}
); /* renders front(qustion) and back(answer) at the same time, then on user input replaces the answer with a GPT analysis of the answer */ renderAsQuiz = (text: string) => (

{text}

Return to all flashcards and add text to both sides.