In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.

Example Input: Yar lor he wan 2 go c horse racing today mah, so eat earlier lor. I ate chicken rice. U?
Example Output: ham

Example Input: Think ur smart ? Win £200 this week in our weekly quiz, text PLAY to 85222 now!T&Cs WinnersClub PO BOX 84, M26 3UZ. 16+. GBP1.50/week
Example Output: spam

Example Input: When u wana see it then
Example Output:
ham