Update app.py

app.py

@@ -1,6 +1,5 @@
 import os
 os.system("pip install gfpgan")
-os.system("pip install realesrgan")
 os.system("pip freeze")
 os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v0.2.0/GFPGANCleanv1-NoCE-C2.pth -P .")
 import random
@@ -16,24 +15,11 @@ import numpy as np
 from basicsr.utils import imwrite
 from gfpgan import GFPGANer
 
-# background upsampler
-if not torch.cuda.is_available():  # CPU
-    import warnings
-    warnings.warn('The unoptimized RealESRGAN is very slow on CPU. We do not use it. '
-                  'If you really want to use it, please modify the corresponding codes.')
-    bg_upsampler = None
-else:
-    from basicsr.archs.rrdbnet_arch import RRDBNet
-    from realesrgan import RealESRGANer
-    model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=2)
-    bg_upsampler = RealESRGANer(
-        scale=2,
-        model_path='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth',
-        model=model,
-        tile=200,
-        tile_pad=10,
-        pre_pad=0,
-        half=True)  # need to set False in CPU mode
+import warnings
+warnings.warn('The unoptimized RealESRGAN is very slow on CPU. We do not use it. '
+              'If you really want to use it, please modify the corresponding codes.')
+bg_upsampler = None
+
 
  
 # set up GFPGAN restorer