toxicity.js

const toxicity = require('@tensorflow-models/toxicity');
const threshold = 0.9;

// Load the model. Users optionally pass in a threshold and an array of
// labels to include.
async function createClassifier() {
  return toxicity.load(threshold)
}
module.exports = {
  createClassifier,
}

  // classifier.classify(sentences).then(predictions => {
    // `predictions` is an array of objects, one for each prediction head,
    // that contains the raw probabilities for each input along with the
    // final prediction in `match` (either `true` or `false`).
    // If neither prediction exceeds the threshold, `match` is `null`.

    // console.log(predictions);
    /*
    prints:
    {
      "label": "identity_attack",
      "results": [{
        "probabilities": [0.9659664034843445, 0.03403361141681671],
        "match": false
      }]
    },
    {
      "label": "insult",
      "results": [{
        "probabilities": [0.08124706149101257, 0.9187529683113098],
        "match": true
      }]
    },
    ...
     */
  // });
// });