text: const express = require('express');
  const app = new express();
  
  const NaturalLanguageUnderstandingV1 = require('ibm-watson/natural-language-understanding/v1');
  const { IamAuthenticator } = require('ibm-watson/auth');
  
  /*This tells the server to use the client 
  folder for all static resources*/
  app.use(express.static('client'));
  
  /*This tells the server to allow cross origin references*/
  const cors_app = require('cors');
  app.use(cors_app());
  
  /*Uncomment the following lines to loan the environment 
  variables that you set up in the .env file*/
  
  const dotenv = require('dotenv');
  dotenv.config();
  
  const api_key = process.env.API_KEY;
  const api_url = process.env.API_URL;
  
  function getNLUInstance() {
      /*Type the code to create the NLU instance and return it.
      You can refer to the image in the instructions document
      to do the same.*/
      const naturalLanguageUnderstanding = new NaturalLanguageUnderstandingV1({
          version: '2021-08-01',
          authenticator: new IamAuthenticator ({
              apikey: api_key
          }),
          serviceUrl: api_url
      });
      return naturalLanguageUnderstanding;
  }
  
  
  //The default endpoint for the webserver
  app.get("/",(req,res)=>{
      res.render('index.html');
    });
  
  //The endpoint for the webserver ending with /url/emotion
  app.get("/url/emotion", (req,res) => {
      // //Extract the url passed from the client through the request object
      let urlToAnalyze = req.query.url
          const analyzeParams = 
          {
              "url": urlToAnalyze,
              "features": {
                  "keywords": {
                      "emotion": true,
                      "limit": 1
                  }
              }
          }
  
          const naturalLanguageUnderstanding = getNLUInstance();
  
          naturalLanguageUnderstanding.analyze(analyzeParams)
          .then(analysisResults => {
              //Retrieve the emotion and return it as a formatted string
              return res.send(analysisResults.result.keywords[0].emotion,null,2);
          })
          .catch(err => {
              return res.send("Could not do desired operation "+err);
          });
  });
  
  //The endpoint for the webserver ending with /url/sentiment
  app.get("/url/sentiment", (req,res) => {
      let urlToAnalyze = req.query.url
          const analyzeParams = 
          {
              "url": urlToAnalyze,
              "features": {
                  "keywords": {
                      "sentiment": true,
                      "limit": 1
                  }
              }
          }
  
          const naturalLanguageUnderstanding = getNLUInstance();
  
          naturalLanguageUnderstanding.analyze(analyzeParams)
          .then(analysisResults => {
              //Retrieve the sentiment and return it as a formatted string
  
              return res.send(analysisResults.result.keywords[0].sentiment,null,2);
          })
          .catch(err => {
              return res.send("Could not do desired operation "+err);
          });
  });
  
  //The endpoint for the webserver ending with /text/emotion
  app.get("/text/emotion", (req,res) => {
      let textToAnalyze = req.query.text
          const analyzeParams = 
          {
              "text": textToAnalyze,
              "features": {
                  "keywords": {
                      "emotion": true,
                      "limit": 1
                  }
              }
          }
  
          const naturalLanguageUnderstanding = getNLUInstance();
  
          naturalLanguageUnderstanding.analyze(analyzeParams)
          .then(analysisResults => {
              //Retrieve the emotion and return it as a formatted string
  
              return res.send(analysisResults.result.keywords[0].emotion,null,2);
          })
          .catch(err => {
              return res.send("Could not do desired operation "+err);
          });
  });
  
  app.get("/text/sentiment", (req,res) => {
      let textToAnalyze = req.query.text
          const analyzeParams = 
          {
              "text": textToAnalyze,
              "features": {
                  "keywords": {
                      "sentiment": true,
                      "limit": 1
                  }
              }
          }
  
          const naturalLanguageUnderstanding = getNLUInstance();
  
          naturalLanguageUnderstanding.analyze(analyzeParams)
          .then(analysisResults => {
              //Retrieve the sentiment and return it as a formatted string
  
              return res.send(analysisResults.result.keywords[0].sentiment,null,2);
          })
          .catch(err => {
              return res.send("Could not do desired operation "+err);
          });
  });
  
  let server = app.listen(8080, () => {
      console.log('Listening', server.address().port)
  })
  
  