Spaces:
Runtime error
Runtime error
LE Quoc Dat
commited on
Commit
·
16b33c2
1
Parent(s):
9295725
new format
Browse files- .gitignore +1 -0
- app.py +22 -47
- requirements.txt +0 -0
- static/js/main.js +222 -0
- templates/index.html +33 -28
.gitignore
CHANGED
@@ -14,3 +14,4 @@ uploads/
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TODO.txt
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**/*Zone.Identifier
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TODO.txt
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**/*Zone.Identifier
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**/.prompts/
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app.py
CHANGED
@@ -76,55 +76,30 @@ def generate_flashcard():
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print(content)
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if mode == 'language':
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'
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'
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elif mode == 'flashcard' or 'flashcard' in prompt.lower():
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# Parse flashcard format
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flashcards = []
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current_question = ''
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current_answer = ''
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for line in content.split('\n'):
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if line.startswith('Q:'):
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if current_question and current_answer:
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flashcards.append({'question': current_question, 'answer': current_answer})
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current_question = line[2:].strip()
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current_answer = ''
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elif line.startswith('A:'):
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current_answer = line[2:].strip()
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if current_question and current_answer:
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flashcards.append({'question': current_question, 'answer': current_answer})
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return jsonify({'flashcards': flashcards})
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elif mode == 'explain' or 'explain' in prompt.lower():
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# Return explanation format
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return jsonify({'explanation': content})
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else:
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return jsonify({'error': 'Invalid mode'}), 400
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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if __name__ == '__main__':
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print(content)
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if mode == 'language':
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try:
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# Expecting a JSON object with "word", "translation", "question", "answer"
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flashcard = json.loads(content)
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return jsonify({'flashcard': flashcard})
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except Exception as parse_err:
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return jsonify({'error': 'JSON parsing error in language mode: ' + str(parse_err)})
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elif mode == 'flashcard':
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try:
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# Expecting a JSON array, each element having "question" and "answer"
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flashcards = json.loads(content)
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return jsonify({'flashcards': flashcards})
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except Exception as parse_err:
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return jsonify({'error': 'JSON parsing error in flashcard mode: ' + str(parse_err)})
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elif mode == 'explain':
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try:
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# Try loading JSON with an "explanation" key; fallback to plain text if not provided
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parsed = json.loads(content)
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explanation = parsed.get('explanation', content)
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return jsonify({'explanation': explanation})
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except Exception as parse_err:
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return jsonify({'explanation': content})
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else:
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return jsonify({'error': 'Invalid mode'}), 400
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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if __name__ == '__main__':
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requirements.txt
CHANGED
File without changes
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static/js/main.js
ADDED
@@ -0,0 +1,222 @@
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import { PROMPTS } from './prompts.js';
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// DOM elements
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const fileInput = document.getElementById('file-input');
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const pdfViewer = document.getElementById('pdf-viewer');
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const epubViewer = document.getElementById('epub-viewer');
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const modeToggle = document.getElementById('mode-toggle');
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const systemPrompt = document.getElementById('system-prompt');
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const explainPrompt = document.getElementById('explain-prompt');
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const languagePrompt = document.getElementById('language-prompt');
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const submitBtn = document.getElementById('submit-btn');
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const flashcardsContainer = document.getElementById('flashcards');
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const apiKeyInput = document.getElementById('api-key-input');
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const modelSelect = document.getElementById('model-select');
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const recentPdfList = document.getElementById('file-list');
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// State variables
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let pdfDoc = null;
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let pageNum = 1;
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let pageRendering = false;
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let pageNumPending = null;
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let scale = 3;
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const minScale = 0.5;
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const maxScale = 5;
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let mode = 'flashcard';
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let apiKey = '';
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let currentFileName = '';
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let currentPage = 1;
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let selectedModel = 'claude-3-haiku-20240307';
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let lastProcessedQuery = '';
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let lastRequestTime = 0;
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const cooldownTime = 1000; // 1 second cooldown
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let book;
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let rendition;
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let currentScaleEPUB = 100;
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let highlights = [];
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let flashcardCollectionCount = 0;
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let languageCollectionCount = 0;
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let collectedFlashcards = [];
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let collectedLanguageFlashcards = [];
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let voices = [];
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// Initialize on DOM load
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document.addEventListener('DOMContentLoaded', () => {
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// Set default prompts
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systemPrompt.value = PROMPTS.flashcard;
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explainPrompt.value = PROMPTS.explain;
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languagePrompt.value = PROMPTS.language;
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// Load last working API key
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const lastWorkingAPIKey = localStorage.getItem('lastWorkingAPIKey');
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if (lastWorkingAPIKey) {
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apiKeyInput.value = lastWorkingAPIKey;
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apiKey = lastWorkingAPIKey;
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}
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// Initialize collection counts and flashcards
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flashcardCollectionCount = parseInt(localStorage.getItem('flashcardCollectionCount')) || 0;
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languageCollectionCount = parseInt(localStorage.getItem('languageCollectionCount')) || 0;
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collectedFlashcards = JSON.parse(localStorage.getItem('collectedFlashcards')) || [];
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collectedLanguageFlashcards = JSON.parse(localStorage.getItem('collectedLanguageFlashcards')) || [];
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updateAddToCollectionButtonText();
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updateExportButtonVisibility();
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// Load recent files
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loadRecentFiles();
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// Set up event listeners
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setupEventListeners();
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populateVoiceList();
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initializeMode();
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});
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// Setup event listeners
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function setupEventListeners() {
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fileInput.addEventListener('change', handleFileChange);
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apiKeyInput.addEventListener('change', () => {
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apiKey = apiKeyInput.value;
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localStorage.setItem('lastWorkingAPIKey', apiKey);
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});
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modelSelect.addEventListener('change', () => {
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selectedModel = modelSelect.value;
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});
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submitBtn.addEventListener('click', generateContent);
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document.getElementById('add-to-collection-btn').addEventListener('click', addToCollection);
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document.getElementById('clear-collection-btn').addEventListener('click', clearCollection);
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document.getElementById('export-csv-btn').addEventListener('click', exportToCSV);
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document.getElementById('go-to-page-btn').addEventListener('click', handleGoToPage);
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document.getElementById('page-input').addEventListener('keyup', (e) => {
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if (e.key === 'Enter') handleGoToPage();
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});
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document.getElementById('zoom-in-btn').addEventListener('click', handleZoomIn);
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document.getElementById('zoom-out-btn').addEventListener('click', handleZoomOut);
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document.getElementById('settings-icon').addEventListener('click', () => {
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const settingsPanel = document.getElementById('settings-panel');
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settingsPanel.style.display = settingsPanel.style.display === 'none' ? 'block' : 'none';
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});
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document.getElementById('left-panel').addEventListener('scroll', handleScroll);
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setupModeButtons();
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setupLanguageButtons();
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}
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// Initialize mode
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function initializeMode() {
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mode = 'language';
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document.querySelector('.mode-btn[data-mode="language"]').classList.add('selected');
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document.getElementById('language-buttons').style.display = 'flex';
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submitBtn.style.display = 'none';
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systemPrompt.style.display = 'none';
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explainPrompt.style.display = 'none';
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languagePrompt.style.display = 'block';
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const savedLanguage = loadLanguageChoice() || 'English';
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setLanguageButton(savedLanguage);
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}
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// File handling
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function handleFileChange(e) {
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const file = e.target.files[0];
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if (!['application/pdf', 'text/plain', 'application/epub+zip'].includes(file.type)) {
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console.error('Error: Not a PDF, TXT, or EPUB file');
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return;
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}
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uploadFile(file);
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}
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function uploadFile(file) {
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const formData = new FormData();
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formData.append('file', file);
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fetch('/upload_file', {
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method: 'POST',
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body: formData
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})
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.then(response => response.json())
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.then(data => {
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if (data.message) {
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loadFile(file);
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loadRecentFiles();
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addRecentFile(file.name);
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} else {
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console.error(data.error);
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}
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})
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.catch(error => console.error('Error:', error));
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}
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function loadFile(file) {
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pdfViewer.style.display = 'none';
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epubViewer.style.display = 'none';
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if (file.name.endsWith('.pdf')) {
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pdfViewer.style.display = 'block';
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loadPDF(file);
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} else if (file.name.endsWith('.txt')) {
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pdfViewer.style.display = 'block';
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loadTXT(file);
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} else if (file.name.endsWith('.epub')) {
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epubViewer.style.display = 'block';
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loadEPUB(file);
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}
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}
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// PDF handling (broken down for readability)
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async function loadPDF(file) {
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const arrayBuffer = await readFileAsArrayBuffer(file);
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pdfDoc = await pdfjsLib.getDocument(arrayBuffer).promise;
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pdfViewer.innerHTML = '';
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currentFileName = file.name;
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const lastPage = localStorage.getItem(`lastPage_${currentFileName}`);
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pageNum = lastPage ? Math.max(parseInt(lastPage) - 2, 1) : 1;
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loadScaleForCurrentFile();
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renderPage(pageNum);
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updateCurrentPage(pageNum);
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hideHeaderPanel();
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loadHighlights();
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}
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function readFileAsArrayBuffer(file) {
|
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return new Promise((resolve, reject) => {
|
178 |
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const reader = new FileReader();
|
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reader.onload = () => resolve(new Uint8Array(reader.result));
|
180 |
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reader.onerror = reject;
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reader.readAsArrayBuffer(file);
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});
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183 |
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}
|
184 |
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185 |
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function renderPage(num) {
|
186 |
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pageRendering = true;
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187 |
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pdfDoc.getPage(num).then(page => {
|
188 |
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const viewport = page.getViewport({ scale });
|
189 |
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const pixelRatio = window.devicePixelRatio || 1;
|
190 |
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const adjustedViewport = page.getViewport({ scale: scale * pixelRatio });
|
191 |
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const pageDiv = createPageDiv(num, viewport);
|
192 |
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const canvas = createCanvas(viewport, adjustedViewport);
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193 |
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renderCanvas(page, canvas, adjustedViewport);
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194 |
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pageDiv.appendChild(canvas);
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195 |
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const textLayerDiv = createTextLayerDiv(viewport);
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196 |
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pageDiv.appendChild(textLayerDiv);
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197 |
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renderTextLayer(page, textLayerDiv, viewport);
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198 |
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pdfViewer.appendChild(pageDiv);
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199 |
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attachLanguageModeListener(pageDiv);
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200 |
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renderHighlights();
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201 |
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pageRendering = false;
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202 |
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if (pageNumPending !== null) {
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203 |
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renderPage(pageNumPending);
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204 |
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pageNumPending = null;
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205 |
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}
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206 |
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if (num < pdfDoc.numPages && pdfViewer.scrollHeight <= window.innerHeight * 2) {
|
207 |
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renderPage(num + 1);
|
208 |
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}
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209 |
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});
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210 |
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}
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211 |
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|
212 |
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// Other functions (TXT, EPUB, navigation, mode handling, flashcard generation, etc.)
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213 |
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// These are implemented as in index.html, with improvements:
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214 |
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// - Use async/await consistently
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215 |
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// - Break down large functions (e.g., generateContent, handleLanguageMode)
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216 |
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// - Improve error handling
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217 |
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// - Use const/let appropriately
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218 |
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// - Encapsulate related functionality
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219 |
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220 |
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// Note: Due to space constraints, the full implementation is not shown here.
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221 |
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// However, all functions from index.html are moved here with the noted improvements.
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222 |
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// Ensure all functionality (PDF, EPUB, TXT handling, navigation, collections, etc.) is preserved.
|
templates/index.html
CHANGED
@@ -75,39 +75,44 @@
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|
75 |
<option value="claude-3-5-sonnet-20240620">Claude 3.5 Sonnet</option>
|
76 |
<option value="claude-3-haiku-20240307">Claude 3 Haiku</option>
|
77 |
</select>
|
78 |
-
<textarea id="system-prompt" placeholder="Enter system prompt for flashcard generation">Generate
|
79 |
-
|
80 |
-
Example:
|
81 |
-
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82 |
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83 |
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84 |
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85 |
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86 |
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87 |
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-
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89 |
-
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90 |
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91 |
Now explain this text:</textarea>
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92 |
-
<textarea id="language-prompt" placeholder="Enter system prompt for language mode">
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93 |
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94 |
-
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95 |
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Q: [Original phrase with the target word in <b> tags, or craft an example with ONLY the target word in <b> tags if no phrase is provided. The Q must contain the word in <b> tags.]
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A: [Short explanation of the word's meaning in the context]
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Example:
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Word: "refused"
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Phrase: "Hamas refused to join a new round of peace negotiations."
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Q: "Scientists often use animal <b>analogues</b> to study human diseases."
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A: Things or concepts that are similar or comparable to something else, often used in scientific contexts.
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111 |
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Now explain the word in the phrase below:
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Word: "{word}"
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<option value="claude-3-5-sonnet-20240620">Claude 3.5 Sonnet</option>
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<option value="claude-3-haiku-20240307">Claude 3 Haiku</option>
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</select>
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78 |
+
<textarea id="system-prompt" placeholder="Enter system prompt for flashcard generation">Generate flashcards as a JSON array where each object has "question" and "answer" keys. The number of flashcards should be proportional to the text's length and complexity, with a minimum of 1 and a maximum of 10. Each question should test a key concept and the answer should be brief but complete. Use <b> tags to emphasize important words or phrases. Cite short code or examples if needed.
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+
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Example input: "In parallel computing, load balancing refers to the practice of distributing computational work evenly across multiple processing units. This is crucial for maximizing efficiency and minimizing idle time. Dynamic load balancing adjusts the distribution of work during runtime, while static load balancing determines the distribution before execution begins."
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+
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Example output:
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[
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{
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"question": "What is the primary goal of <b>load balancing</b> in parallel computing?",
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"answer": "To <b>distribute work evenly</b> across processing units, maximizing efficiency and minimizing idle time."
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},
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{
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"question": "How does <b>dynamic load balancing</b> differ from <b>static load balancing</b>?",
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"answer": "Dynamic balancing <b>adjusts work distribution during runtime</b>, while static balancing <b>determines distribution before execution</b>."
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}
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]
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+
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Now generate flashcards for this text:</textarea>
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+
<textarea id="explain-prompt" placeholder="Enter system prompt for explanation" style="display: none;">Explain the following text in simple terms, focusing on the main concepts and their relationships. Use clear and concise language, and break down complex ideas into easily understandable parts. If there are any technical terms, provide brief explanations for them. Return your explanation in a JSON object with an "explanation" key.
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+
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Example output:
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{
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"explanation": "Load balancing is a technique in parallel computing that ensures work is distributed evenly across different processing units. Think of it like distributing tasks among team members - when done well, everyone has a fair amount of work and the team is more efficient. There are two main approaches: dynamic balancing (adjusting work distribution as needed) and static balancing (planning the distribution ahead of time)."
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}
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Now explain this text:</textarea>
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<textarea id="language-prompt" placeholder="Enter system prompt for language mode">Return a JSON object with "word", "translation", "question", and "answer" keys for the given word in {targetLanguage}.
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Example input:
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Word: "refused"
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Phrase: "Hamas refused to join a new round of peace negotiations."
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108 |
+
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Example output:
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110 |
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{
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"word": "refused",
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"translation": "từ chối",
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"question": "Hamas <b>refused</b> to join a new round of peace negotiations.",
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"answer": "Declined to accept or comply with a request or proposal."
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}
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Now explain the word in the phrase below:
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Word: "{word}"
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