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import streamlit as st
const video = document.getElementById('video');
const canvas = document.getElementById('canvas');
const output = document.getElementById('output');
const captureButton = document.getElementById('capture');
// Access the mobile camera
navigator.mediaDevices.getUserMedia({ video: true })
.then(stream => {
video.srcObject = stream;
})
.catch(err => {
console.error("Error accessing the camera: ", err);
});
captureButton.addEventListener('click', () => {
// Draw the video frame to the canvas
canvas.width = video.videoWidth;
canvas.height = video.videoHeight;
const context = canvas.getContext('2d');
context.drawImage(video, 0, 0, canvas.width, canvas.height);
// Convert canvas to image data
const dataURL = canvas.toDataURL('image/png');
// Process the image with Tesseract
Tesseract.recognize(
dataURL,
'kor',
{
logger: m => console.log(m)
}
).then(({ data: { text } }) => {
console.log(text);
analyzeNutrition(text);
});
});
function analyzeNutrition(text) {
// Extract nutritional values (assuming sugar content is labeled as '당류' in Korean)
const regex = /당류\s*:\s*(\d+(\.\d+)?)/; // This regex might need adjustments based on label format
const match = text.match(regex);
let outputDiv = document.getElementById('output');
if (match) {
const sugarContent = parseFloat(match[1]);
let message = `Sugar content: ${sugarContent}g - `;
if (sugarContent > 20) {
message += 'Dangerous';
outputDiv.className = 'red';
} else if (sugarContent > 10) {
message += 'Normal';
outputDiv.className = 'yellow';
} else {
message += 'Good';
outputDiv.className = 'green';
}
outputDiv.textContent = message;
} else {
outputDiv.textContent = 'Sugar content not found';
outputDiv.className = '';
}
} |