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
Example: ASSISTANT: generally speaking what type of movies do you watch , USER: I like thrillers a lot. , ASSISTANT: thrillers? for example? , USER: Zodiac's one of my favorite movies. , USER: Zodiac the movie about a serial killer from the '60s or '70s, around there. , ASSISTANT: Zodiac? oh wow ok, what do you like about that movie, classify_text: And I just think serial killers, in general, are interesting, so the movie was really good. And it was just neat to see that world. Like it went really in-depth. It was like almost 3 hours long, so you got to really feel like you were a part of that world and time period. And see what the detectives and the police did and the investigators.
Example solution: USER
Example explanation: Based on last conversation in which the ASSISTANT ask's a question for which it waits for a reply from the "USER". We can classify this conversation as "USER" as it needs to respond for the given question.

Problem: ASSISTANT: What type of movies do you enjoy? , USER: I like movies that are based on true story. , ASSISTANT: What appeals to you with these type of movies? , USER: I think it's just easier to get invested in the story knowing it's at least partially true, so it feels more real, like you can get more invested in the characters. , ASSISTANT: Is there a specific movie you enjoy from this genre? , USER: I watched Apollo 13 recently, and that's a really good movie., classify_text: What did you like about this movie?
Solution: ASSISTANT