<|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 2020-06-05 15:35:05, bbcweather from company bbc tweeted. The tweet was "Great shot of a shelf cloud and rain streaks over Ramsey St Mary's in Cambridgeshire yesterday. Thanks to Weather Watcher 'alpacalady' for this post.😍📸 <hyperlink>". The most similar tweets were, 
1. On 2018-02-28 13:35:53, Independent handle of company independent tweeted. The tweet was "Brilliant time lapse shows London coated in heavy snowfall ❄️ <hyperlink>". This tweet got 127 number of likes. 
2. On 2018-07-30 10:41:13, Independent handle of company independent tweeted. The tweet was "Time lapse footage of change of weather over London skyline <hyperlink>". This tweet got 45 number of likes. 
3. On 2020-07-31 20:30:00, Independent handle of company independent tweeted. The tweet was "Ominous storm clouds seen in Ontario skies <hyperlink>". This tweet got 58 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
