Given the task definition, example input & output, solve the new input case.
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.
Output: USER
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.

New input case for you: ASSISTANT: Can you tell me what types of movies you like? , USER: I like comedy movies. , USER: I like comedy movies because they make me laugh. They are enjoyable to watch, interesting characters in it, the joking inside the movies. Yeah, that's why. , ASSISTANT: ok, can you name a movie you really liked? , USER: Dumb and Dumber , ASSISTANT: why do you like that movie?, classify_text: Because I like the plot. I like I like the way they that they that they're chasing the girl. And they pull they pull pranks on each other and just to get the girl to like them. I like I like how there is suspense in the movie. Like at the end, there's a bad guy that shows up with a gun and and tries to tries to take the money and just
Output:
USER