sample Fetch API

 const urlData = "https://example.com/some-url"; // Replace with the actual URL data
const modelEndpoint = "https://your-azure-ml-endpoint-url"; // Replace with your Azure ML endpoint URL

const requestData = {
  data: urlData,
  // Add any other required data or headers here
};

fetch(modelEndpoint, {
  method: 'POST', // or 'GET' depending on your Azure ML service
  body: JSON.stringify(requestData),
  headers: {
    'Content-Type': 'application/json',
    // Add any other required headers here
  },
})
.then(response => response.json())
.then(result => {
  // Process the result from your ML model here
  console.log(result);
})
.catch(error => {
  console.error('Error:', error);
});