Prediction failed: Error during model execution:
AbortionError(code=StatusCode.INVALID_ARGUMENT, details="Expected image
(JPEG, PNG, or GIF), got unknown format starting with
'u253Z212f240{370351z06332261356270377'
[[{{node map/while/DecodeJpeg}} = DecodeJpeg[_output_shapes=[[?,?,3]],
acceptable_fraction=1, channels=3, dct_method="", fancy_upscaling=true,
ratio=1, try_recover_truncated=false, _device="/job:localhost/replica:0
/task:0/device:CPU:0"](map/while/TensorArrayReadV3)]]")

<script type="text/javascript">


    function simulateClick(bunnyID) {

        document.getElementById(bunnyID).click();
    }

    $(document).ready(function () {

        $("#loading").hide();
        $("span.mdl-chip").hide();

        console.log("ready!");


        $("#settings-btn").click(function () {
            $("#versions").toggle();
        });

        let base64Image;
        $("#image-selector").change(function () {
            let reader = new FileReader();
            reader.onload = function (e) {
                let dataURL = reader.result;
                $("#selected-image").attr("src", dataURL);
                base64Image = dataURL.replace("data:image/jpg;base64,","");
                console.log(base64Image);
            }
            let file = $("#image-selector").prop('files')[0];
            reader.readAsDataURL(file);

            setTimeout(simulateClick.bind(null,'fake-predict-button'), 500);

        });

        $("#fake-predict-button").click(function () {
            let baseImage = {
                image: base64Image
            }
            console.log(baseImage);

            $("span.mdl-chip").hide();
            $("#no-skins").hide();
            $("#loading").show();

            var modelUrl;
            var modelSelection = $('input[name=options]:checked').val();

            if (modelSelection === "1") {
                modelUrl = "test/versions/v1"
            } else {
                modelUrl = $("#custom").val()
            }


            $.ajax({
                type: "POST",
                url: "https://MY-HTTP-ENDPOINT",

                data: {
                    "instances": [{"image_bytes": {"b64": base64Image}}]},

                    JSON.stringify({
                    "model": modelUrl}),
                 },

                contentType: "application/json; charset=utf-8",
                dataType: "json",