lib/enchance.js

import axios from "axios";
import FormData from "form-data";

async function processImageUpscaler({ buffer, method, filenames, mimetype }) {
  return new Promise(async (resolve, reject) => {
    let Methods = ["enhance"];
    Methods.includes(method) ? (method = method) : (method = Methods[0]);

    let formData = new FormData();
    formData.append("model_version", 1);

    formData.append("image", Buffer.from(buffer), {
      filename: filenames,
      contentType: mimetype,
    });

    const headers = {
      "User-Agent": "okhttp/4.9.3",
      Connection: "Keep-Alive",
      "Accept-Encoding": "gzip",
      "Content-Type": "multipart/form-data",
    };

    const instance = axios.create({
      transformRequest: [],
    });

    instance.post(`https://inferenceengine.vyro.ai/${method}`, formData, { headers })
      .then(response => {
        resolve(Buffer.from(response.data), "binary");
      })
      .catch(error => {
        reject(error);
      });
  });
};

export { processImageUpscaler };