<|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 2019-01-31 15:20:18, bbcweather from company bbc tweeted. The tweet was "❄️❄️Here are more details on the expected timing and potential amounts of #snow currently forecast for later today and tonight in Wales/C+S England. Warnings for snow and ice here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-30 14:48:01, Rtreatwilliams handle of company williams tweeted. The tweet was "Snow is here early <hyperlink>". This tweet got 625 number of likes. 
2. On 2020-02-11 06:25:11, HMcEntee handle of company td tweeted. The tweet was "Wow, didn’t expect that this morning ❄️❄️❄️ 👀 Is winter finally coming?? #Snow ⛄️ <hyperlink>". This tweet got 171 number of likes. 
3. On 2020-10-03 11:23:22, primevideosport handle of company amazon tweeted. The tweet was "British weather. <hyperlink>". This tweet got 721 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
