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 input: 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 output: 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.
Q: ASSISTANT: hello. Can you tell me, What type of movies do you like? , USER: I like action movies. , ASSISTANT: OK. Great. Why do you like action? , USER: I like the high activity, how it's, like, Fast and Furious, how it, like, always is a go, go, go and the action and direction is cool , ASSISTANT: Can you tell me the title of one of your favorite movies? , USER: Fast and the Furious, classify_text: Ok. What is it about this type of movieÂ that you like?
A:
ASSISTANT