async function init()

in mnist-acgan/index.js [162:249]
75 lines of code
7 McCabe index (conditional complexity)

async function init() {
  // Load MNIST data for display in webpage.
  status.textContent = 'Loading MNIST data...';
  await loadMnistData();

  const LOCAL_MEATADATA_PATH = 'generator/acgan-metadata.json';
  const LOCAL_MODEL_PATH = 'generator/model.json';

  // Hosted, pre-trained generator model.
  const HOSTED_MODEL_URL =
      'https://storage.googleapis.com/tfjs-examples/mnist-acgan/dist/generator/model.json';

  // Attempt to load locally-saved model. If it fails, activate the
  // "Load hosted model" button.
  let model;
  try {
    status.textContent = 'Loading metadata';
    const metadata =
        await (await fetch(LOCAL_MEATADATA_PATH, {cache: 'no-cache'})).json();

    status.textContent = `Loading model from ${LOCAL_MODEL_PATH}...`;
    model = await tf.loadLayersModel(
        tf.io.browserHTTPRequest(LOCAL_MODEL_PATH, {cache: 'no-cache'}));
    await showGeneratorInitially(model);

    if (metadata.completed) {
      status.textContent =
          `Training of ACGAN in Node.js (${metadata.totalEpochs} epochs) ` +
          `is completed. `;
    } else {
      status.textContent = `Training of ACGAN in Node.js is ongoing (epoch ` +
          `${metadata.currentEpoch + 1}/${metadata.totalEpochs})... `;
    }
    if (metadata.currentEpoch < 10) {
      status.textContent +=
          '(Note: generator results may be bad during the first few epochs ' +
          'of training, but should get better as training progresses.) '
    }
    if (metadata.lastUpdated != null) {
      status.textContent +=
          ` (Saved model was last updated ` +
          `${ta.ago(new Date(metadata.lastUpdated))}). `;
    }
    status.textContent +=
        'Loaded locally-saved model! Now click "Generate" or ' +
        'adjust the z-space sliders.';
  } catch (err) {
    console.error(err);
    status.textContent =
        'Failed to load locally-saved model and/or metadata. ' +
        'Please click "Load Hosted Model"';
  }

  loadHostedModel.addEventListener('click', async () => {
    try {
      status.textContent = `Loading hosted model from ${HOSTED_MODEL_URL} ...`;
      model = await tf.loadLayersModel(HOSTED_MODEL_URL);
      loadHostedModel.disabled = true;

      await showGeneratorInitially(model);
      status.textContent =
          `Succesfully loaded hosted model from ${HOSTED_MODEL_URL}. ` +
          `Now click "Generate" or adjust the z-space sliders.`;
    } catch (err) {
      console.error(err);
      status.textContent =
          `Failed to load hosted model from ${HOSTED_MODEL_URL}`;
    }
  });

  testModel.addEventListener('click', async () => {
    generateLatentVector(false);
    await generateAndVisualizeImages(model);
    drawReals();
  });

  zSpaceToggleButton.addEventListener('click', () => {
    if (slidersContainer.style.display === 'none') {
      slidersContainer.style.display = 'block';
      zSpaceToggleButton.textContent =
          zSpaceToggleButton.textContent.replace('Show ', 'Hide ');
    } else {
      slidersContainer.style.display = 'none';
      zSpaceToggleButton.textContent =
          zSpaceToggleButton.textContent.replace('Hide ', 'Show ');
    }
  });
}