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: I take it the post has come then! You must have 1000s of texts now! Happy reading. My one from wiv hello caroline at the end is my favourite. Bless him
Example Output: ham

Example Input: You have an important customer service announcement from PREMIER.
Example Output: spam

Example Input: So anyways, you can just go to your gym or whatever, my love *smiles* I hope your ok and having a good day babe ... I miss you so much already
Example Output:
ham