Update app.py

app.py

@@ -151,7 +151,7 @@ def inference(image, upscale, large_input_flag, color_fix):
 		output = np.transpose(output[[2, 1, 0], :, :], (1, 2, 0))
 	output = (output * 255.0).round().astype(np.uint8)
 	
-	return image, Image.fromarray(output)
+	return (image, Image.fromarray(output)), output
     
 
 
@@ -200,6 +200,26 @@ 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=[
@@ -209,10 +229,13 @@ demo = gr.Interface(
         gr.Checkbox(value=False, label="Color correction"),
     ],
 	
-    outputs=ImageSlider(label="Super-Resolved Image", 
+    outputs = [
+		ImageSlider(label="Super-Resolved Image", 
                         type="pil",
                         show_download_button=True,
                         ),
+		gr.Image()
+    ],
     title=title,
     description=description,
     article=article,
@@ -220,5 +243,6 @@ demo = gr.Interface(
     css=css,
 )
 
+
 if __name__ == "__main__":
     demo.launch()