Using NLP.js to extract some entities

extract_food_NLP.js

/// Published to help someone out with this task! If they are reading this - hope this helped you! :) 
// - ps check out @ https://github.com/MarketingPipeline and feel free to star something! :D 

import { containerBootstrap } from "https://cdn.skypack.dev/@nlpjs/core@4.26.1";
import { Nlp } from "https://cdn.skypack.dev/@nlpjs/nlp@4.26.1";
import { LangEn } from "https://cdn.skypack.dev/@nlpjs/lang-en-min@4.26.1";


(async () => {
  const container = await containerBootstrap();
  container.use(Nlp);
  container.use(LangEn);
  const nlp = container.get('nlp');
  nlp.settings.autoSave = false;
  nlp.addLanguage('en');
  nlp.addDocument('en', 'I want a @subject from  @place with @extra', 'hungry')
 nlp.addNerBetweenLastCondition('en', 'subject', 'a', 'from');
   nlp.addNerBetweenLastCondition('en', 'place', 'from', 'with');
   nlp.addNerAfterLastCondition('en', 'extra', 'with');

  await nlp.train();
  const response = await nlp.process('en', 'I want a coffee from Dunkin Donuts with sugar');

   console.log({
     subject:response.entities[0].utteranceText, 
     place:response.entities[1].utteranceText,
     extras:response.entities[2].utteranceText
              
               }); 
  /* Outputs: 
{
  "subject": "coffee",
  "place": "Dunkin Donuts",
  "extras": "sugar"
}
*/
})();