Error in Emoji hunt demo

[v7t-codes]

I get the following error when I run yarn dev to setup the federated server

RangeError: Invalid typed array length: 424424 at new Float32Array (<anonymous>) at /home/psi/flp/federated-learning/demo/emoji_hunt/server/.yalc/federated-learning-server/dist/models.js:391:19 at Array.map (<anonymous>) at flatDeserialize (/home/psi/flp/federated-learning/demo/emoji_hunt/server/.yalc/federated-learning-server/dist/models.js:388:24) at FederatedServerDynamicModel.<anonymous> (/home/psi/flp/federated-learning/demo/emoji_hunt/server/.yalc/federated-learning-server/dist/models.js:334:36) at step (/home/psi/flp/federated-learning/demo/emoji_hunt/server/.yalc/federated-learning-server/dist/models.js:42:23) at Object.next (/home/psi/flp/federated-learning/demo/emoji_hunt/server/.yalc/federated-learning-server/dist/models.js:23:53) at fulfilled (/home/psi/flp/federated-learning/demo/emoji_hunt/server/.yalc/federated-learning-server/dist/models.js:14:58)

Here is the snippet that the error points to:
381: exports.flatSerialize = flatSerialize;
function flatDeserialize(_a) {
var data = _a.data, _b = _a.json, meta = _b.meta, byteOffsets = _b.byteOffsets;
var numels = meta.map(function (_a) {
var shape = _a.shape;
return shape.reduce(function (x, y) { return x * y; }, 1);
});
var tensors = meta.map(function (_a, i) {
var shape = _a.shape, dtype = _a.dtype;
var ctor = common_1.dtypeToTypedArrayCtor[dtype];
var arr = new ctor(data.buffer, byteOffsets[i], numels[i]);
return tf.tensor(arr, shape, dtype);
});
return tensors;
395: }

[raghu20ram]

hi @Vishwajit123 how did you run the demo , I am facing issues while running the demo?