<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-07-05 16:02:44, SonyMusicUK from company sony tweeted. The tweet was "🌟 <mention> stars on the cover of <mention>'s upcoming issue 🌟

📖 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-01 11:58:55, amazonmusic handle of company amazon tweeted. The tweet was ".<mention> and <mention> want you to #BeKind 🌼🌼 Listen to their latest collab on our Pop Culture playlist now 🎧: <hyperlink> <hyperlink>". This tweet got 812 number of likes. 
2. On 2020-09-11 04:41:20, amazonmusic handle of company amazon tweeted. The tweet was ".<mention> isn't letting up this year - already back with his third project of 2020 💪

Listen to his new album #TOP, with features from <mention> and <mention> now 🎧: <hyperlink> <hyperlink>". This tweet got 404 number of likes. 
3. On 2018-05-04 17:30:11, amazonmusic handle of company amazon tweeted. The tweet was "NEW <mention> (!!!) #SR3MM x #SWAECATION x #JXMTRO 🎧: <hyperlink> <hyperlink>". This tweet got 263 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
