# CURL request to train GRPO model with image support
curl -X POST http://your-api-endpoint.com/your-route \
  -H "Content-Type: application/json" \
  -d '{
    "data": [
      {
        "question": "what is the brand of phone?",
        "answer": "nokia",
        "image": "/home/jovyan/shares/SR004.nfs2/data/textvqa/train_images/0054c91397f2fe05.jpg",
        "width": 512,
        "height": 365,
        "bboxs": [[168, 168, 193, 178]],
        "dataset": "textvqa",
        "split": "train"
      },
      {
        "question": "what type of plane is this?",
        "answer": "lape",
        "image": "/home/jovyan/shares/SR004.nfs2/data/textvqa/train_images/005635e119b9f32f.jpg",
        "width": 512,
        "height": 333,
        "bboxs": [[265, 154, 304, 167]],
        "dataset": "textvqa",
        "split": "train"
      }
    ]
  }'

const formData = new FormData();
  formData.append("datasetname", "set1");

  // Add image files
  const fileInput = document.querySelector("#fileInput");
  for (const file of fileInput.files) {
    formData.append("files", file);
  }

  const response = await fetch(endpoint, {
    method: "POST",
    headers: {
      "x-api-key": apiKey,
		"Content-Type": "application/json"
    },
    body: formData
  });