<|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 2019-12-13 15:59:00, UPMCnews from company upmc tweeted. The tweet was "In the 29th episode of NOW, UPMC Passavant celebrates with staff as it continues to expand services in Pittsburgh’s north region. 

More ⬇️ Full episode➡️<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-06-17 12:01:45, UPSAirlines handle of company ups tweeted. The tweet was "Up, up and away. #MondayMotivation <hyperlink>". This tweet got 74 number of likes. 
2. On 2019-08-30 19:01:25, HudMo handle of company hudson tweeted. The tweet was "Morning ritual for <mention> #Respect <hyperlink>". This tweet got 78 number of likes. 
3. On 2019-04-13 22:53:18, UPSAirlines handle of company ups tweeted. The tweet was "#ICYMI: Our <mention> #UPS7478F making her pass at <mention>’s #ThunderOverLouisville airshow. ✈️ 👑 #UPSDerbyFest #ProudUPSers #KYDerbyFest <hyperlink>". This tweet got 134 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
