<|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 2019-12-01 18:36:51, BBCEarth from company bbc tweeted. The tweet was "When the supermarket says they’re ‘sold out’ of garlic bread 😮
#SevenWorldsOnePlanet #Ibegyourpardon <hyperlink>". The most similar tweets were, 
1. On 2018-05-15 10:22:17, MichelinGuideUK handle of company michelin tweeted. The tweet was "Wonderful wild garlic in various guises <hyperlink>". This tweet got 91 number of likes. 
2. On 2018-03-31 09:39:10, ICICIBank handle of company icici bank tweeted. The tweet was "Answer your hunger pangs by ordering delicious pizzas from Pizza Hut using #ICICIBank cards &amp; get 20% off! #CulinaryTreats <hyperlink> <hyperlink>". This tweet got 15 number of likes. 
3. On 2018-06-02 09:30:00, ICICIBank handle of company icici bank tweeted. The tweet was "Answer your hunger pangs by ordering delicious pizzas from Pizza Hut using #ICICIBank cards &amp; get 20% off! #CulinaryTreats <hyperlink> <hyperlink>". This tweet got 10 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
