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 kind of movies do you like? , USER: I like action films. , ASSISTANT: what do you like about these kind of movies? , USER: I like sort of nonstop action. The the the action sequences are usually exciting, and fun, and maybe gripping, and intense in a good way. There's usually It's usually quite an escape to watch an action film. , ASSISTANT: nice. can you name a movie that you really liked? , USER: Mr. & Mrs. Smith is one of my favorite action films. It's a It's Brad Pitt and Angelina Jolie and so great cast and this particular action film great cast, great action, great writing with sexual aroma that's paired into it which I really love and it has a lot of great back and forth a really great script which does not always, classify_text: when you have a great script in action movie, it does make it that much better.
Example Output: USER

Example Input: ASSISTANT: Hello. Iâ€™d like to discuss your movie preferences. OK? , USER: What would you like to know? , USER: I can tell you about the movies that I like. I like action and fantasy films as well as science fiction films. , USER: Some of my favorite films include: Star Wars, The Lord of the Rings trilogy and The Hobbit trilogy. , ASSISTANT: so you like movie series? , USER: I can't tell you that I don't like low budget films, as I just don't find them very entertaining., classify_text: what did you like about the lord of the rings trilogy?
Example Output: ASSISTANT

Example Input: ASSISTANT: What kind of movies do you like? , USER: I like movies with an art style, good architecture, good music, a unique story line. , ASSISTANT: ok , ASSISTANT: can you think of a movie that had that? , USER: Yes, I can. Grand Budapest Hotel, Inception , ASSISTANT: ok, Inception, what about that kind of movie do you recall liking?, classify_text: I liked the music, the atmosphere, the architecture, and the story line.
Example Output:
USER