It seems good to me.
You can use conditional indexing to make it even shorther.
def get_accuracy(y_true, y_prob):
    accuracy = metrics.accuracy_score(y_true, y_prob > 0.5)
    return accuracy

If you want to work with Pytorch tensors, the same functionality can be achieved with the following code:
def get_accuracy(y_true, y_prob):
    assert y_true.ndim == 1 and y_true.size() == y_prob.size()
    y_prob = y_prob > 0.5
    return (y_true == y_prob).sum().item() / y_true.size(0)