app.js

const express = require("express");
const app = express();

require("dotenv").config({ path: "./config/.env" });

// pull in the required packages.
const {
  TextAnalyticsClient,
  AzureKeyCredential,
} = require("@azure/ai-text-analytics");

const endpoint = process.env["ENDPOINT"] || "<cognitive services endpoint>";
const apiKey = process.env["TEXT_ANALYTICS_API_KEY"] || "<api key>";

//Server Setup
app.set("view engine", "ejs");
app.use(express.static("public"));
app.use(express.urlencoded({ extended: true }));
app.use(express.json());

//Routes
app.get("/", (req, res) => {
  res.render("index.ejs");
});

app.post("/", async (req, res) => {
  try {
    const documents = [String(req.body.sendText)];

    console.log("=== Analyze Sentiment Sample ===");

    const client = new TextAnalyticsClient(
      endpoint,
      new AzureKeyCredential(apiKey)
    );

    const results = await client.analyzeSentiment(documents);

    for (let i = 0; i < results.length; i++) {
      const result = results[i];
      console.log(`- Document ${result.id}`);
      if (!result.error) {
        console.log(`\tDocument text: ${documents[i]}`);
        console.log(`\tOverall Sentiment: ${result.sentiment}`);
        console.log("\tSentiment confidence scores: ", result.confidenceScores);
        console.log("\tSentences");
        for (const { sentiment, confidenceScores, text } of result.sentences) {
          console.log(`\t- Sentence text: ${text}`);
          console.log(`\t  Sentence sentiment: ${sentiment}`);
          console.log("\t  Confidence scores:", confidenceScores);
        }
      } else {
        console.error(`  Error: ${result.error}`);
      }
    }
    res.render("result.ejs", { result: results });
  } catch (err) {
    console.log(err);
  }
});

app.listen(process.env.PORT || 8000);