fix

app.py

@@ -114,17 +114,17 @@ def inference(img):
     img.save('out.jpg')  
     aligned_face = align_face('out.jpg')
 	
-	ffhq_codes = ffhq_encoder(aligned_face.unsqueeze(0).to("cuda").float())
-	ffhq_codes = ffhq_codes + ffhq_latent_avg.repeat(ffhq_codes.shape[0], 1, 1)
+    ffhq_codes = ffhq_encoder(aligned_face.unsqueeze(0).to("cuda").float())
+    ffhq_codes = ffhq_codes + ffhq_latent_avg.repeat(ffhq_codes.shape[0], 1, 1)
 
-	cat_codes = cat_encoder(aligned_face.unsqueeze(0).to("cuda").float())
-	cat_codes = cat_codes + ffhq_latent_avg.repeat(cat_codes.shape[0], 1, 1)
+    cat_codes = cat_encoder(aligned_face.unsqueeze(0).to("cuda").float())
+    cat_codes = cat_codes + ffhq_latent_avg.repeat(cat_codes.shape[0], 1, 1)
 
-	dog_codes = dog_encoder(aligned_face.unsqueeze(0).to("cuda").float())
-	dog_codes = dog_codes + ffhq_latent_avg.repeat(dog_codes.shape[0], 1, 1)
+    dog_codes = dog_encoder(aligned_face.unsqueeze(0).to("cuda").float())
+    dog_codes = dog_codes + ffhq_latent_avg.repeat(dog_codes.shape[0], 1, 1)
         
     animal = "cat"
-	npimage = gen_im(animal)
+    npimage = gen_im(animal)
 	
     imageio.imwrite('filename.jpeg', npimage)
     return 'filename.jpeg'