<|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 2018-07-11 18:19:39, Barclaycard from company barclaycard tweeted. The tweet was "The atmosphere is 🔥🔥🔥 here at Barclaycard presents <mention> #ENGCRO #BarclaycardBST ⚽ <hyperlink>". The most similar tweets were, 
1. On 2018-08-11 21:10:20, bayer04_en handle of company bayer tweeted. The tweet was "What an atmosphere <mention> 😱😱 <hyperlink>". This tweet got 1379 number of likes. 
2. On 2020-08-11 12:56:10, IndependentNGR handle of company independent tweeted. The tweet was "Barclays Expands ESG Banking Leadership Team <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-06-05 10:34:34, CiscoUmbrella handle of company cisco tweeted. The tweet was "The calm before the storm😁

The pizza &amp; beer is on us from 12-2pm today 🍕🍺 <mention> Olympia London #InfoSec19 <hyperlink>". This tweet got 1 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
