classify text [harassment, self-harm, religion insult, sexist, hate, racist, safe for work, psychiatric or mental illness, porn]

teks: 01101110 01100001 01101011 00100000 01110010 01101111 01101101 01100101 01101110 00100000 01110100 01110101 00100000 01111001 01100001 01101110 01100111 00100000 01110011 01110101 01110011 01100001 01101000 00100000 01100100 01100001 01101100 01100001 01101101 00100000 01110011 01101101 01110011 00101100 00100000 01101110 01100001 01101011 00100000 01110100 01110101 01101110 01100111 01100111 01110101 00100000 01110011 01100101 01100011 01101111 01101110 01100100 00100000 01110011 01101101 01110011 00100000 01100100 01100001 01101000 00100000 01101000 01101001 01101100 01100001 01101110 01100111 00100000 01110011 01110100 01101001 01101101 01101101 01101101 01101101 01101101 01101101 01101101 01101101 01101101 00101110 00101110 01110111 01100001 01101011 01100001 01101011 01100001 01101011 01100001 01101011 01100001, return JSON {'kelas'}
{"kelas": "safe for work"}