async def METHOD_NAME(payload: dict = Body(...)) -> Dict[str, Any]:
    body = payload["body"]
    for key, deserializer in deserializers.items():
        body[key] = deserializer(body[key])
    with torch.no_grad():
        output = servable_model.serve_step(**body)
    if not isinstance(output, dict):
        raise Exception(f"Please, return your outputs as a dictionary. Found {output}")
    for key, serializer in serializers.items():
        output[key] = serializer(output[key])
    return output