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: FreeMsg Hey U, i just got 1 of these video/pic fones, reply WILD to this txt & ill send U my pics, hurry up Im so bored at work xxx (18 150p/rcvd STOP2stop)
Example Output: spam

Example Input: Hey you gave them your photo when you registered for driving ah? Tmr wanna meet at yck? 
Example Output: ham

Example Input: Yup
Example Output:
ham