Adding Spark NLP initialization to controller

SparkNlpController.java

package org.example.sparknlp;


import org.apache.spark.sql.SparkSession;
import com.johnsnowlabs.nlp.LightPipeline;
import com.johnsnowlabs.nlp.SparkNLP;
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline;
import com.sun.org.slf4j.internal.Logger;
import com.sun.org.slf4j.internal.LoggerFactory;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

@RestController
public class SparkNlpController {
    private static final Logger LOG = LoggerFactory.getLogger(SparkNlpController.class);
    private LightPipeline scoringPipeline;
    private SparkSession spark;

    public SparkNlpController() {
        spark = SparkNLP.start(false, false);
        scoringPipeline = new PretrainedPipeline("analyze_sentiment", "en").lightModel();
    }
    @GetMapping("/hello")
    public String hello() {
        return "Hello world";
    }
}