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: No. 1 Nokia Tone 4 ur mob every week! Just txt NOK to 87021. 1st Tone FREE ! so get txtin now and tell ur friends. 150p/tone. 16 reply HL 4info
Example Output: spam

Example Input: Ok that's great thanx a lot.
Example Output: ham

Example Input: Here is your discount code RP176781. To stop further messages reply stop. www.regalportfolio.co.uk. Customer Services 08717205546
Example Output:
spam