You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input

Input: Consider Input: ASSISTANT: What type of movies do you like? , USER: Musicals. , ASSISTANT: why musicals? , USER: They make me happy, and make me leave the reality of the world, that's so sad sometimes. , ASSISTANT: What is one of your favorite movies? , USER: Into the Woods, classify_text: what did u like about it?

Output: ASSISTANT


Input: Consider Input: ASSISTANT: What sort of movies to you like? , USER: I like drama. I love a good drama, you know? , ASSISTANT: What about drama movies do you like? , USER: A good storyline. Usually most dramas have good storylines. I like that. , ASSISTANT: What about movies you don't like? , USER: I don't like action movies because it looks too fake to me. You know. I don't like I don't watch them., classify_text: Can you give me an example of something you remember liking?

Output: ASSISTANT


Input: Consider Input: ASSISTANT: what are some type of movies that you like? , USER: I typically like the the sort of sci-fi sort of movies. Like for instance, Star Wars or any any type of like action movies or like some really like aesthetically pleasing movies. For instance, Interstellar was a really good movie. Inception I also thought was a really good movie. Movies with really good music scores are also really good on a are a really good , ASSISTANT: what did you like about inception? , USER: I really One of the things I liked about it was like the whole like music thing about it, and then like the whole story behind it, as well. Like the way if you dream, then you It like There's more layers to your dreams, and then inside the dream, it'll be like like 100 years inside of a dream, but it's like a second in real life. , ASSISTANT: how did u like the ending? , USER: I thought the ending was pretty cool. It was also like a really big like cliffhanger that I was very surprised with. I was not expecting the whole the top to not fall over, so, classify_text: It is pretty cool.


Output: USER