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: Tell them the drug dealer's getting impatient
Example Output: ham

Example Input: Thanks love. But am i doing torch or bold.
Example Output: ham

Example Input: Oh is it? Send me the address
Example Output:
ham