Update app.py

app.py

@@ -115,7 +115,6 @@ def inference(image, upscale, large_input_flag, color_fix):
 	# img2tensor
 	y = np.array(image).astype(np.float32) / 255.
 	y = torch.from_numpy(np.transpose(y[:, :, [2, 1, 0]], (2, 0, 1))).float()
-	# y = torch.from_numpy(np.transpose(y, (2, 0, 1))).float()
 	y = y.unsqueeze(0).to(device)
 
 	# inference
@@ -183,18 +182,18 @@ description = ''' ### Spatially-Adaptive Feature Modulation for Efficient Image
 
 article = "<p style='text-align: center'><a href='https://github.com/sunny2109/SAFMN/tree/main' target='_blank'>Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution</a></p>"
 
-#### Image,Prompts examples
+#### Image examples
 examples = [
             ['real_testdata/060.png'],
-            # ['real_testdata/004.png'],
-            # ['real_testdata/013.png'],
-            # ['real_testdata/014.png'],
-            # ['real_testdata/015.png'],
-            # ['real_testdata/021.png'],
-            # ['real_testdata/032.png'],
-            # ['real_testdata/045.png'],
-            # ['real_testdata/036.png'],
-            # ['real_testdata/058.png'],
+            ['real_testdata/004.png'],
+            ['real_testdata/013.png'],
+            ['real_testdata/014.png'],
+            ['real_testdata/015.png'],
+            ['real_testdata/021.png'],
+            ['real_testdata/032.png'],
+            ['real_testdata/045.png'],
+            ['real_testdata/036.png'],
+            ['real_testdata/058.png'],
             ]
 
 css = """
@@ -205,26 +204,6 @@ css = """
     }
 """
 
-# demo = gr.Interface(
-#     fn=inference,
-#     inputs=[
-#         gr.Image(value="real_testdata/060.png", type="pil", label="Input"),
-#         gr.Number(minimum=2, maximum=4, label="Upscaling factor (up to 4)"),
-# 		gr.Checkbox(value=False, label="Memory-efficient inference"),
-#         gr.Checkbox(value=False, label="Color correction"),
-#     ],
-	
-#     outputs = ImageSlider(label="Super-Resolved Image", 
-#                         type="pil",
-#                         show_download_button=True,
-#                         ),
-#     title=title,
-#     description=description,
-#     article=article,
-#     examples=examples,
-#     css=css,
-# )
-
 demo = gr.Interface(
     fn=inference,
     inputs=[
@@ -243,9 +222,6 @@ demo = gr.Interface(
 			label="Download Output",
 			type='filepath',
 		),
-		# gr.Image(
-		# 	label="Download Output"
-		# ),
     ],
     title=title,
     description=description,