<|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 2019-04-17 13:00:05, FreePeople from company free tweeted. The tweet was "Wishing we were in Italy wearing the One Verona Dress &gt;&gt;&gt; 
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-03-05 19:38:04, FreePeople handle of company free tweeted. The tweet was "Every dress should make you feel like this 🙌🏽 <hyperlink>
📸 <hyperlink> <hyperlink>". This tweet got 66 number of likes. 
2. On 2018-03-22 22:47:06, FreePeople handle of company free tweeted. The tweet was "Dream dress, found ✨😍 <hyperlink> <hyperlink>". This tweet got 137 number of likes. 
3. On 2019-12-05 00:44:08, FreePeople handle of company free tweeted. The tweet was "It's time to get dressed up. 
<hyperlink>
IG: theindiaedit <hyperlink>". This tweet got 55 number of likr 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
54<|im_end|>
