another try to fix ndarray error

added cv2 instead of image from PIL

app.py

@@ -1,6 +1,7 @@
 from fastai.vision.all import *
 import gradio as gr
 from PIL import Image, ImageChops, ImageEnhance
+import cv2
 
 #Converting the images to ELA format for prediction
 def convert_to_ela_image(filename, quality):
@@ -9,7 +10,9 @@ def convert_to_ela_image(filename, quality):
     # im = Image.open(filename)
     # im1 = im.convert('RGB')
     # im1.save(resaved_filename, 'JPEG', quality=quality)
-    filename.save(resaved_filename, 'JPEG', quality=quality)    
+    # filename.save(resaved_filename, 'JPEG', quality=quality) 
+    cv2.imwrite(resaved_filename, filename, [cv2.IMWRITE_JPEG_QUALITY, quality])
+    # resaved_im = Image.open(resaved_filename)
     resaved_im = Image.open(resaved_filename)
     
     ela_im = ImageChops.difference(im, resaved_im)