classify text [harassment, self-harm, religion insult, sexist, hate, racist, safe for work, psychiatric or mental illness, porn], text `was at the hawker for lunch and saw an ang moh based on his accent he is a foreigner introducing the different foods in the hawker to an east asian man who looked very local`, return in JSON {'label'}
{"label": "racist"}