<|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 2019-04-10 17:01:04, ToyotaPolicy from company toyota tweeted. The tweet was "<mention> sat down with some of our team to discuss the impacts of trade on the Toyota plant in his district in Alabama. Thanks for meeting with us, congressman! #ToyotaInDC #MadeInAlabama <hyperlink>". The most similar tweets were, 
1. On 2018-07-20 13:32:04, ToyotaPolicy handle of company toyota tweeted. The tweet was "Employees from our engine &amp; transmission plant in West Virginia met with <mention> yesterday to discuss auto tariffs. Thanks for a good meeting senator! <hyperlink>". This tweet got 11 number of likes. 
2. On 2019-04-10 16:02:03, ToyotaPolicy handle of company toyota tweeted. The tweet was "Thank you <mention> for supporting #manufacturingjobs and discussing their importance the U.S. economy with our Toyota team members. #ToyotaInDC <hyperlink>". This tweet got 12 number of likes. 
3. On 2018-04-18 23:00:16, ToyotaPolicy handle of company toyota tweeted. The tweet was "Great discussion with <mention> on our operations in Texas. Thank you for taking the time &amp; your support of Toyota in Texas. <hyperlink>". This tweet got 7 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
2<|im_end|>
