<|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 2019-04-16 12:34:01, chaptersindigo from company indigo tweeted. The tweet was "The Temptation of Gracie by <mention> is a poignant, timeless tale of grand romance, a story of women through the generations, and a reminder that it’s never too late to love.
 #NowAvailable #IndigoBooks Shop: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-08-30 03:51:25, fpjindia handle of company free tweeted. The tweet was ".<mention> reveals which book she has been reading

<hyperlink> <hyperlink>". This tweet got 369 number of likes. 
2. On 2018-05-26 10:26:43, GavinFree handle of company free tweeted. The tweet was "Coming to the end of a lovely Japanese adventure with girl. #🇯🇵 <hyperlink> <hyperlink>". This tweet got 7201 number of likes. 
3. On 2019-10-22 19:59:25, ActuallyEmerson handle of company emerson tweeted. The tweet was "The only “A Warning” book I’m interested in reading. <hyperlink>". This tweet got 4 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
