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’.

Input: Consider Input: She was supposed to be but couldn't make it, she's still in town though

Output: ham


Input: Consider Input:  said kiss, kiss, i can't do the sound effects! He is a gorgeous man isn't he! Kind of person who needs a smile to brighten his day! 

Output: ham


Input: Consider Input: I've got  &lt;#&gt; , any way I could pick up?


Output: ham