main.html

const confidence = 0.8; // Confidence range is 0 to 1

async function predict() {
  ...
  const prediction = await model.predict(posenetOutput);
  for (let i = 0; i < maxPredictions; i++) {
    const classPrediction = prediction[i].className + ": " + prediction[i].probability.toFixed(2);
    // Insert the API call here
    if (prediction[i].probability > confidence) { 
      callReaction(prediction[i].className);
    }
    labelContainer.childNodes[i].innerHTML = classPrediction;
  }
  // finally draw the poses
  drawPose(pose);
};

let clapping = 0;
const threshold = 5; // number of times of detection to run API
async function callReaction(predictionClassName) {
  if (predictionClassName == 'Clapping') {
    clapping += 1
    if (clapping > threshold) {
      fetch('https://myapi.com/?reaction=Clapping');  // Change to your own API endpoint
      clapping = 0; // reset for threshold
    }
  }
}