Spaces:
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Update app.py
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app.py
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import streamlit as st
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import streamlit as st
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st.title("Candy Label Scanner")
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# HTML and JS for the scanner
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html_code = """
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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>Candy Label Scanner</title>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/tesseract.min.js"></script>
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<style>
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#output {
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font-size: 20px;
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margin-top: 20px;
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}
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.red {
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color: red;
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}
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.yellow {
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color: yellow;
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}
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.green {
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color: green;
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}
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video {
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width: 100%;
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height: auto;
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}
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</style>
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</head>
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<body>
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<h1>Candy Label Scanner</h1>
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<video id="video" autoplay></video>
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<button id="capture">Capture</button>
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<canvas id="canvas" style="display: none;"></canvas>
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<div id="output"></div>
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<script>
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const video = document.getElementById('video');
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const canvas = document.getElementById('canvas');
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const output = document.getElementById('output');
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const captureButton = document.getElementById('capture');
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// Access the mobile camera
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navigator.mediaDevices.getUserMedia({ video: true })
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.then(stream => {
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video.srcObject = stream;
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})
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.catch(err => {
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console.error("Error accessing the camera: ", err);
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});
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captureButton.addEventListener('click', () => {
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// Draw the video frame to the canvas
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canvas.width = video.videoWidth;
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canvas.height = video.videoHeight;
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const context = canvas.getContext('2d');
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context.drawImage(video, 0, 0, canvas.width, canvas.height);
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// Convert canvas to image data
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const dataURL = canvas.toDataURL('image/png');
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// Process the image with Tesseract
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Tesseract.recognize(
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dataURL,
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'kor',
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{
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logger: m => console.log(m)
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}
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).then(({ data: { text } }) => {
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console.log(text);
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analyzeNutrition(text);
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});
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});
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function analyzeNutrition(text) {
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// Extract nutritional values (assuming sugar content is labeled as '당류' in Korean)
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const regex = /당류\s*:\s*(\d+(\.\d+)?)/; // This regex might need adjustments based on label format
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const match = text.match(regex);
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let outputDiv = document.getElementById('output');
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if (match) {
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const sugarContent = parseFloat(match[1]);
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let message = `Sugar content: ${sugarContent}g - `;
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if (sugarContent > 20) {
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message += 'Dangerous';
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outputDiv.className = 'red';
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} else if (sugarContent > 10) {
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message += 'Normal';
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outputDiv.className = 'yellow';
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} else {
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message += 'Good';
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outputDiv.className = 'green';
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}
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outputDiv.textContent = message;
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} else {
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outputDiv.textContent = 'Sugar content not found';
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outputDiv.className = '';
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}
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}
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</script>
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</body>
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</html>
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"""
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st.components.v1.html(html_code, height=600)
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