// Test alert message to verify JavaScript is working

const ingredients = Array(380).fill(0);
    
const checks = [...document.querySelectorAll('.checkbox')];

checks.forEach(check => {
    check.addEventListener('change', function() {
        // toggle the state of the ingredient
        // based on the checkbox's value (1 or 0)
        ingredients[check.value] = check.checked ? 1 : 0;
    });
});

function testCheckboxes() {
    // validate if at least one checkbox is checked
    return checks.some(check => check.checked);
}

async function startInference() {

    let atLeastOneChecked = testCheckboxes()

    if (!atLeastOneChecked) {
        alert('Please select at least one ingredient.');
        return;
    }
    try {
        // create a new session and load the model.
        
        const session = await ort.InferenceSession.create('./model.onnx');

        const input = new ort.Tensor(new Float32Array(ingredients), [1, 380]);
        const feeds = { float_input: input };

        // feed inputs and run
        const results = await session.run(feeds);

        // read from results
        alert('You can enjoy ' + results.label.data[0] + ' cuisine today!')

    } catch (e) {
        console.log(`failed to run inference on ONNX model`);
        console.error(e);
    }
}