Refactored to flow Hub Packaging directory structures

basic-messenger-cli/application/src/client/client.js

@@ -0,0 +1,48 @@
+const axios = require("axios");
+
+module.exports = class Client {
+  constructor(endpoint, model) {
+    this.endpoint = endpoint;
+    this.model = model;
+  }
+
+  async send(input) {
+    return new Promise((resolve, reject) => {
+      let data = JSON.stringify({
+        input: input,
+        model: this.model,
+        previous_response_id: this.previous_response_id,
+        metadata: { channel: "text" },
+      });
+
+      let config = {
+        method: "post",
+        maxBodyLength: Infinity,
+        url: this.endpoint,
+        headers: {
+          "Content-Type": "application/json",
+        },
+        data: data,
+      };
+
+      axios
+        .request(config)
+        .then((response) => {
+          if (response.data && response.data.output) {
+            if (
+              response.data.output.length > 0 &&
+              response.data.output[0].content.length > 0
+            ) {
+              this.previous_response_id = response.data.id;
+              resolve(response.data.output[0].content[0].text);
+            }
+          } else {
+            resolve("No output received from server.");
+          }
+        })
+        .catch((error) => {
+          reject(error);
+        });
+    });
+  }
+};

basic-messenger-cli/application/src/index.js

@@ -0,0 +1,30 @@
+const readline = require("readline");
+const Client = require("./client/client");
+const dotenv = require("dotenv");
+
+// dot env config
+dotenv.config();
+const END_POINT = process.env.END_POINT;
+const MODEL = process.env.MODEL;
+
+const rl = readline.createInterface({
+  input: process.stdin,
+  output: process.stdout,
+});
+rl.setPrompt("You: ");
+
+const client = new Client(END_POINT, MODEL);
+
+const init = async () => {
+  rl.prompt();
+  // Reads user input to send messages in a prompt
+  rl.on("line", async (input) => {
+    if (input.trim().length > 0) {
+      output = await client.send(input);
+      console.log(`Assistant: ${output}`);
+    }
+    rl.prompt();
+  });
+};
+
+init();