Update app.py

app.py

@@ -238,267 +238,270 @@ def inpaint(image, invert):
     result = np.concatenate([color, alpha], axis=2)
     return [result]
 
-block = gr.Blocks().queue()
-with block:
+with gr.Blocks() as demo:
     gr.Markdown(DESCRIPTION)
-    with gr.Row():
-        gr.Markdown("## Canny Edge")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            low_threshold = gr.Slider(label="low_threshold", minimum=1, maximum=255, value=100, step=1)
-            high_threshold = gr.Slider(label="high_threshold", minimum=1, maximum=255, value=200, step=1)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=canny, inputs=[input_image, resolution, low_threshold, high_threshold], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## HED Edge&nbsp;&quot;SoftEdge&quot;")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=hed, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Pidi Edge&nbsp;&quot;SoftEdge&quot;")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=pidi, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## MLSD Edge")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            value_threshold = gr.Slider(label="value_threshold", minimum=0.01, maximum=2.0, value=0.1, step=0.01)
-            distance_threshold = gr.Slider(label="distance_threshold", minimum=0.01, maximum=20.0, value=0.1, step=0.01)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=mlsd, inputs=[input_image, resolution, value_threshold, distance_threshold], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## MIDAS Depth")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=midas, inputs=[input_image, resolution], outputs=[gallery])
-
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Zoe Depth")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=zoe, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Normal Bae")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=normalbae, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## DWPose")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=dwpose, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Openpose")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            hand_and_face = gr.Checkbox(label='Hand and Face', value=False)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=openpose, inputs=[input_image, resolution, hand_and_face], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Lineart Anime \n<p>Check Invert to use with Mochi Diffusion.")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            invert = gr.Checkbox(label='Invert', value=True)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=lineart_anime, inputs=[input_image, resolution, invert], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Lineart \n<p>Check Invert to use with Mochi Diffusion.  Inverted image can also be created here for use with ControlNet Scribble.")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            coarse = gr.Checkbox(label='Using coarse model', value=False)
-            invert = gr.Checkbox(label='Invert', value=True)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=lineart, inputs=[input_image, resolution, coarse, invert], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## InPaint")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy", tool="sketch", height=512)
-            input_image = gr.ImageMask(sources="upload", type="numpy", height="auto")
-            invert = gr.Checkbox(label='Invert Mask', value=False)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=inpaint, inputs=[input_image, invert], outputs=[gallery])
-
-#    with gr.Row():
-#        gr.Markdown("## Uniformer Segmentation")
-#    with gr.Row():
-#        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-#            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-#            run_button = gr.Button(label="Run")
-#        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-#    run_button.click(fn=uniformer, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Oneformer COCO Segmentation")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=oneformer_coco, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Oneformer ADE20K Segmentation")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=640, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=oneformer_ade20k, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Content Shuffle")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
-    run_button.click(fn=content_shuffler, inputs=[input_image, resolution], outputs=[gallery])
-
-    gr.Markdown("<hr>")
-    with gr.Row():
-        gr.Markdown("## Color Shuffle")
-    with gr.Row():
-        with gr.Column():
-#            input_image = gr.Image(source='upload', type="numpy")
-            input_image = gr.Image(label="Input Image", type="numpy", height=512)
-            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
-            run_button = gr.Button("Run")
-#            run_button = gr.Button(label="Run")
-        with gr.Column():
-#            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
-            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+    with gr.Tab("Canny Edge"):
+        with gr.Row():
+            gr.Markdown("## Canny Edge")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                low_threshold = gr.Slider(label="low_threshold", minimum=1, maximum=255, value=100, step=1)
+                high_threshold = gr.Slider(label="high_threshold", minimum=1, maximum=255, value=200, step=1)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=canny, inputs=[input_image, resolution, low_threshold, high_threshold], outputs=[gallery])
+    
+    with gr.Tab("HED Edge"):
+        with gr.Row():
+            gr.Markdown("## HED Edge&nbsp;&quot;SoftEdge&quot;")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=hed, inputs=[input_image, resolution], outputs=[gallery])
+    
+    with gr.Tab("Pidi Edge"):
+        with gr.Row():
+            gr.Markdown("## Pidi Edge&nbsp;&quot;SoftEdge&quot;")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=pidi, inputs=[input_image, resolution], outputs=[gallery])
+    
+    with gr.Tab("MLSD Edge"):
+        with gr.Row():
+            gr.Markdown("## MLSD Edge")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                value_threshold = gr.Slider(label="value_threshold", minimum=0.01, maximum=2.0, value=0.1, step=0.01)
+                distance_threshold = gr.Slider(label="distance_threshold", minimum=0.01, maximum=20.0, value=0.1, step=0.01)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=mlsd, inputs=[input_image, resolution, value_threshold, distance_threshold], outputs=[gallery])
+    
+    with gr.Tab("MIDAS Depth"):
+        with gr.Row():
+            gr.Markdown("## MIDAS Depth")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=midas, inputs=[input_image, resolution], outputs=[gallery])
+    
+    
+    with gr.Tab("ZOE Depth"):
+        with gr.Row():
+            gr.Markdown("## Zoe Depth")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=zoe, inputs=[input_image, resolution], outputs=[gallery])
+    
+    with gr.Tab("Normal Bae"):
+        with gr.Row():
+            gr.Markdown("## Normal Bae")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=normalbae, inputs=[input_image, resolution], outputs=[gallery])
+    
+    with gr.Tab("DWPose"):
+        with gr.Row():
+            gr.Markdown("## DWPose")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=dwpose, inputs=[input_image, resolution], outputs=[gallery])
+    
+    with gr.Tab("Openpose"):
+        with gr.Row():
+            gr.Markdown("## Openpose")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                hand_and_face = gr.Checkbox(label='Hand and Face', value=False)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=openpose, inputs=[input_image, resolution, hand_and_face], outputs=[gallery])
+    
+    with gr.Tab("Lineart Anime"):
+        with gr.Row():
+            gr.Markdown("## Lineart Anime \n<p>Check Invert to use with Mochi Diffusion.")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                invert = gr.Checkbox(label='Invert', value=True)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=lineart_anime, inputs=[input_image, resolution, invert], outputs=[gallery])
+    
+    with gr.Tab("Lineart"):
+        with gr.Row():
+            gr.Markdown("## Lineart \n<p>Check Invert to use with Mochi Diffusion.  Inverted image can also be created here for use with ControlNet Scribble.")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                coarse = gr.Checkbox(label='Using coarse model', value=False)
+                invert = gr.Checkbox(label='Invert', value=True)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=lineart, inputs=[input_image, resolution, coarse, invert], outputs=[gallery])
+    
+    
+    with gr.Tab("InPaint"):
+        with gr.Row():
+            gr.Markdown("## InPaint")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy", tool="sketch", height=512)
+                input_image = gr.ImageMask(sources="upload", type="numpy", height="auto")
+                invert = gr.Checkbox(label='Invert Mask', value=False)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=inpaint, inputs=[input_image, invert], outputs=[gallery])
+    
+    #    with gr.Row():
+    #        gr.Markdown("## Uniformer Segmentation")
+    #    with gr.Row():
+    #        with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+    #            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+    #            run_button = gr.Button(label="Run")
+    #        with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+    #    run_button.click(fn=uniformer, inputs=[input_image, resolution], outputs=[gallery])
+    
+    
+    #    with gr.Row():
+    #        gr.Markdown("## Oneformer COCO Segmentation")
+    #    with gr.Row():
+    #        with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+    #            input_image = gr.Image(label="Input Image", type="numpy", height=512)
+    #            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+    #            run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+    #        with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+    #            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+    #    run_button.click(fn=oneformer_coco, inputs=[input_image, resolution], outputs=[gallery])
+    
+    
+    #    with gr.Row():
+    #        gr.Markdown("## Oneformer ADE20K Segmentation")
+    #    with gr.Row():
+    #        with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+    #            input_image = gr.Image(label="Input Image", type="numpy", height=512)
+    #            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=640, step=64)
+    #            run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+    #        with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+    #            gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+    #    run_button.click(fn=oneformer_ade20k, inputs=[input_image, resolution], outputs=[gallery])
+    
+    with gr.Tab("Content Shuffle"):
+        with gr.Row():
+            gr.Markdown("## Content Shuffle")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+        run_button.click(fn=content_shuffler, inputs=[input_image, resolution], outputs=[gallery])
+
+    with gr.Tab("Color Shuffle"):
+        with gr.Row():
+            gr.Markdown("## Color Shuffle")
+        with gr.Row():
+            with gr.Column():
+    #            input_image = gr.Image(source='upload', type="numpy")
+                input_image = gr.Image(label="Input Image", type="numpy", height=512)
+                resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
+                run_button = gr.Button("Run")
+    #            run_button = gr.Button(label="Run")
+            with gr.Column():
+    #            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+                gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
+
+
     run_button.click(fn=color_shuffler, inputs=[input_image, resolution], outputs=[gallery])
 
 
-block.launch(server_name='0.0.0.0')
+demo.launch()