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: What type of movies do you enjoy? , USER: I like documentaries. , ASSISTANT: What appeals to you with these type of movies? , USER: You feel like you walk away from a movie you feeling like like you learn something. And they're also like newspapers, they grab me more cuz you know what they are talking about actually happened and it is need to see things that actually happen in the world. , ASSISTANT: Is there a specific movie you enjoy from this genre? , USER: Going Clear was really good., classify_text: What did you like about this movie?
Example Output: ASSISTANT

Example Input: ASSISTANT: What kinds of movies do you like? , USER: I like adventure movies. , ASSISTANT: Well, tell me why do you like adventure movies , USER: Mostly because it's always a lot of action, a lot of If you're talking about Westerns, there's a lot of horses going around, a lot of gunshots, but adventure and exploring is very important. , ASSISTANT: cool, how about a movie you liked? , USER: I think I like the Mission: Impossible one. It was very very quick and fast-paced., classify_text: Interesting, is there a movie you did not like?
Example Output: ASSISTANT

Example Input: ASSISTANT: What kind of films do you like to see? , USER: I really like action movies. , ASSISTANT: Why do you like action movies? , USER: They're a great escape. You are almost never thinking about much else besides the movie you're watching, kind of nonstop from start to finish, and they're usually a lot of fun. The action is a lot of fun. A lot of times, the storylines are either fun or intriguing, and all the better if the acting is good, and the action movies can sort of go , USER: both ways with acting, but usually there's enough action to carry things through if the acting's not there. , ASSISTANT: Great, that's really good to know. Now what's a movie you've seen recently that you enjoyed?, classify_text: recently
Example Output:
USER