working build

.gitignore

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+node_modules
+.env

README.md

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+# Install
+
+`npm install`
+
+---
+
+# Things to add
+
+- Create a config folder with a `.env` file and add the following as `key = value`
+  - PORT = 2121 (can be any port example: 3000)
+  - MS_KEY = `your Microsoft Face Endpoint`
+  - MS_REGION = `your Microsoft Face Key`
+
+---
+
+# Run
+
+`npm start`

app.js

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+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);