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Mudassir939
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Upload 4 files
Browse files- gemini-api.js +72 -0
- index.html +29 -19
- main.js +48 -0
- style.css +74 -28
gemini-api.js
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/**
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* Calls the given Gemini model with the given image and/or text
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* parts, streaming output (as a generator function).
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*/
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export async function* streamGemini({
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model = 'gemini-pro', // use 'gemini-pro' for text -> text
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contents = [],
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} = {}) {
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// Send the prompt to the Python backend
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// Call API defined in main.py
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let response = await fetch("/api/generate", {
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method: "POST",
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headers: { "content-type": "application/json" },
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body: JSON.stringify({ model, contents })
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});
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yield* streamResponseChunks(response);
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}
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/**
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* A helper that streams text output chunks from a fetch() response.
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*/
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async function* streamResponseChunks(response) {
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let buffer = '';
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const CHUNK_SEPARATOR = '\n\n';
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let processBuffer = async function* (streamDone = false) {
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while (true) {
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let flush = false;
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let chunkSeparatorIndex = buffer.indexOf(CHUNK_SEPARATOR);
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if (streamDone && chunkSeparatorIndex < 0) {
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flush = true;
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chunkSeparatorIndex = buffer.length;
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}
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if (chunkSeparatorIndex < 0) {
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break;
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}
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let chunk = buffer.substring(0, chunkSeparatorIndex);
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buffer = buffer.substring(chunkSeparatorIndex + CHUNK_SEPARATOR.length);
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chunk = chunk.replace(/^data:\s*/, '').trim();
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if (!chunk) {
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if (flush) break;
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continue;
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}
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let { error, text } = JSON.parse(chunk);
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if (error) {
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console.error(error);
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throw new Error(error?.message || JSON.stringify(error));
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}
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yield text;
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if (flush) break;
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}
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};
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const reader = response.body.getReader();
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try {
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while (true) {
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const { done, value } = await reader.read()
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if (done) break;
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buffer += new TextDecoder().decode(value);
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console.log(new TextDecoder().decode(value));
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yield* processBuffer();
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}
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} finally {
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reader.releaseLock();
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}
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yield* processBuffer(true);
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}
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index.html
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<!doctype html>
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<html>
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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Transcription_Bot</title>
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<link rel="stylesheet" href="style.css">
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<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@400;500;700&display=swap" rel="stylesheet">
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</head>
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<body>
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<main class="container">
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<h1>Transcription_Bot</h1>
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<!-- Form for uploading audio file -->
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<form class="form-container" id="transcription-form" enctype="multipart/form-data">
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<div class="file-upload-box">
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<label for="audio-file">Upload Audio File:</label>
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<input type="file" id="audio-file" name="audio_file" accept="audio/*" class="input-field">
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</div>
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<button type="submit" class="submit-button">Go</button>
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</form>
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<p class="output" id="output">(Results will appear here)</p>
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</main>
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<script type="module" src="/main.js"></script>
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<script src="https://unpkg.com/[email protected]/dist/markdown-it.min.js"></script>
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</body>
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</html>
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main.js
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import { streamGemini } from './gemini-api.js';
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let form = document.querySelector('form');
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let output = document.querySelector('.output');
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let audioFileInput = document.querySelector('input[name="audio_file"]');
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form.onsubmit = async (ev) => {
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ev.preventDefault();
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output.textContent = 'Processing...';
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try {
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// Log form data before sending
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console.log('Preparing to send audio file:', audioFileInput.files[0]);
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// Create a FormData object to hold the audio file
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let formData = new FormData();
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formData.append('audio_file', audioFileInput.files[0]);
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// Send the audio file to the Flask backend for transcription and option selection
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let response = await fetch('/api/upload', {
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method: 'POST',
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body: formData
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});
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// Log the response status
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console.log('Response status:', response.status);
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if (!response.ok) {
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throw new Error('Network response was not ok');
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}
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let result = await response.json();
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let selectedOption = result.selected_option;
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// Log the response data
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console.log('Received result:', result);
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// Display the transcription and the selected option
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output.innerHTML = `
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<p>Transcription: ${result.transcription}</p>
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<p>Correct Option: ${selectedOption}</p>
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`;
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} catch (e) {
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console.error('Error occurred:', e);
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output.innerHTML = '<hr>' + e;
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}
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};
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style.css
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/* Global Styles */
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body {
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font-family: 'Roboto', sans-serif;
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background-color: #f4f4f9;
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color: #333;
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margin: 0;
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padding: 0;
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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}
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/* Container */
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.container {
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max-width: 600px;
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width: 100%;
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background-color: #fff;
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padding: 20px;
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border-radius: 8px;
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box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
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text-align: center;
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}
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/* Header */
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h1 {
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font-weight: 700;
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color: #4a90e2;
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margin-bottom: 20px;
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}
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/* Form Container */
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.form-container {
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margin-bottom: 20px;
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}
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/* Input Field */
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.input-field {
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width: calc(100% - 100px);
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padding: 10px;
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border-radius: 4px;
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border: 1px solid #ddd;
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font-size: 16px;
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margin-right: 10px;
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box-sizing: border-box;
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}
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/* Submit Button */
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.submit-button {
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padding: 10px 20px;
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border-radius: 4px;
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border: none;
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background-color: #4a90e2;
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color: white;
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font-size: 16px;
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cursor: pointer;
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transition: background-color 0.3s ease;
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}
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.submit-button:hover {
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background-color: #357ab7;
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}
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/* Output Paragraph */
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.output {
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font-size: 16px;
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color: #666;
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margin-top: 20px;
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padding: 10px;
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background-color: #f9f9f9;
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border-radius: 4px;
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border: 1px solid #ddd;
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}
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