Update server.js

server.js

@@ -1,12 +1,17 @@
-const express = require('express');
-const multer = require('multer');
-const cors = require('cors');
-const tf = require('@tensorflow/tfjs');
-require('@tensorflow/tfjs-backend-wasm');
-require('@tensorflow/tfjs-backend-cpu');
+import express from 'express';
+import multer from 'multer';
+import cors from 'cors';
+import * as tf from '@tensorflow/tfjs';
+import '@tensorflow/tfjs-backend-wasm';
+import '@tensorflow/tfjs-backend-cpu';
+import { createCanvas, loadImage } from 'canvas';
+import { createRequire } from 'module';
 
-// Setup Canvas for Node.js environment
-const { createCanvas, loadImage } = require('canvas');
+// Pro importy CommonJS balíčků
+const require = createRequire(import.meta.url);
+
+// Pokud některé balíčky nefungují s ES import
+const somePackage = require('package-name');
 
 // Import Upscaler using dynamic import
 let Upscaler;
@@ -40,55 +45,29 @@ const upload = multer({
 // Global upscaler instance
 let upscalerInstance = null;
 
-// Initialize TensorFlow.js backend
-async function initializeTensorFlow() {
-  try {
-    console.log('Initializing TensorFlow.js...');
-    
-    // Try to set WASM backend first, fallback to CPU
-    try {
-      await tf.setBackend('wasm');
-      await tf.ready();
-      console.log('TensorFlow.js initialized with WASM backend');
-    } catch (wasmError) {
-      console.warn('WASM backend failed, falling back to CPU:', wasmError.message);
-      await tf.setBackend('cpu');
-      await tf.ready();
-      console.log('TensorFlow.js initialized with CPU backend');
-    }
-    
-    console.log('Current backend:', tf.getBackend());
-    return true;
-  } catch (error) {
-    console.error('Failed to initialize TensorFlow.js:', error);
-    return false;
-  }
-}
-
 // Get model for scale and type
 async function getModelForScaleAndType(scale, modelType) {
   switch (modelType) {
     case 'esrgan-slim':
-      const { x2: slimX2, x3: slimX3, x4: slimX4 } = require('@upscalerjs/esrgan-slim');
+      const { x2: slimX2, x3: slimX3, x4: slimX4 } = await import('@upscalerjs/esrgan-slim');
       if (scale === 2) return slimX2;
       if (scale === 3) return slimX3;
       return slimX4;
 
     case 'esrgan-medium':
-      const { x2: mediumX2, x3: mediumX3, x4: mediumX4 } = require('@upscalerjs/esrgan-medium');
+      const { x2: mediumX2, x3: mediumX3, x4: mediumX4 } = await import('@upscalerjs/esrgan-medium');
       if (scale === 2) return mediumX2;
       if (scale === 3) return mediumX3;
       return mediumX4;
 
     case 'esrgan-thick':
-      const { x2: thickX2, x3: thickX3, x4: thickX4 } = require('@upscalerjs/esrgan-thick');
+      const { x2: thickX2, x3: thickX3, x4: thickX4 } = await import('@upscalerjs/esrgan-thick');
       if (scale === 2) return thickX2;
       if (scale === 3) return thickX3;
       return thickX4;
 
     default:
-      // Default to esrgan-slim
-      const { x2: defaultX2, x3: defaultX3, x4: defaultX4 } = require('@upscalerjs/esrgan-slim');
+      const { x2: defaultX2, x3: defaultX3, x4: defaultX4 } = await import('@upscalerjs/esrgan-slim');
       if (scale === 2) return defaultX2;
       if (scale === 3) return defaultX3;
       return defaultX4;
@@ -100,7 +79,6 @@ async function initializeUpscaler(scale = 2, modelType = 'esrgan-slim') {
   try {
     console.log(`Initializing upscaler with scale ${scale}x and model ${modelType}...`);
 
-    // Dynamic import of Upscaler
     if (!Upscaler) {
       const upscalerModule = await import('upscaler');
       Upscaler = upscalerModule.default;