index.js

import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';

// Since we will download the model from the Hugging Face Hub, we can skip the local model check
env.allowLocalModels = false;

// Reference the elements that we will need
const status = document.getElementById('status');
const msg = document.getElementById('message');
const checkMessage = document.getElementById('checkMessage');
// Create a new object detection pipeline
status.textContent = 'Loading model...';
const classifier = await pipeline('text-classification', 'bajrangCoder/roberta_spam_onnx_quantised');
//const classifier = await pipeline('text-classification', 'bajrangCoder/roberta_spam_onnx');
status.textContent = 'Ready';

checkMessage.onclick = async function (){
  status.textContent = 'Analysing...';
  const output = await classifier(msg.value);
  status.textContent = JSON.stringify(output);
}