Update app.py

app.py

@@ -1,89 +1,89 @@
-import gradio as gr
-import os, requests
-import numpy as np
-from inference import setup_model, colorize_grayscale, predict_anchors
-
-## local |  remote
-RUN_MODE = "remote"
-if RUN_MODE != "local":
-    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/disco-beta.pth.rar")
-    os.rename("disco-beta.pth.rar", "./checkpoints/disco-beta.pth.rar")
-    ## examples
-    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/01.jpg")
-    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/02.jpg")
-    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/03.jpg")
-    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/04.jpg")
-
-## step 1: set up model
-device = "cpu"
-checkpt_path = "checkpoints/disco-beta.pth.rar"
-colorizer, colorLabeler = setup_model(checkpt_path, device=device)
-
-def click_colorize(rgb_img, hint_img, n_anchors, is_high_res, is_editable):
-    if hint_img is None:
-        hint_img = rgb_img
-    output = colorize_grayscale(colorizer, colorLabeler, rgb_img, hint_img, n_anchors, is_high_res, is_editable, device)
-    return output
-
-def click_predanchors(rgb_img, n_anchors, is_high_res, is_editable):
-    output = predict_anchors(colorizer, colorLabeler, rgb_img, n_anchors, is_high_res, is_editable, device)
-    return output
-
-## step 2: configure interface
-def switch_states(is_checked):
-    if is_checked:
-        return gr.Image.update(visible=True), gr.Button.update(visible=True)
-    else:
-        return gr.Image.update(visible=False), gr.Button.update(visible=False)
-
-demo = gr.Blocks(title="DISCO")
-with demo:
-    gr.Markdown(value="""
-                    **Gradio demo for DISCO: Disentangled Image Colorization via Global Anchors**. Check our [project page](https://menghanxia.github.io/projects/disco.html) 😛.
-                    """)
-    with gr.Row():
-        with gr.Column():
-            with gr.Row():
-                Image_input = gr.Image(type="numpy", label="Input", interactive=True)
-                Image_anchor = gr.Image(type="numpy", label="Anchor", tool="color-sketch", interactive=True, visible=False)
-            with gr.Row():
-                Num_anchor = gr.Number(type="int", value=8, label="Num. of anchors (3~14)")
-                Radio_resolution = gr.Radio(type="index", choices=["Low (256x256)", "High (512x512)"], \
-                                                label="Colorization resolution (Low is more stable)", value="Low (256x256)")
-            with gr.Row():
-                Ckeckbox_editable = gr.Checkbox(default=False, label='Show editable anchors')
-                Button_show_anchor = gr.Button(value="Predict anchors", visible=False)
-            Button_run = gr.Button(value="Colorize")
-        with gr.Column():
-            Image_output = gr.Image(type="numpy", label="Output").style(height=480)
-
-    Ckeckbox_editable.change(fn=switch_states, inputs=Ckeckbox_editable, outputs=[Image_anchor, Button_show_anchor])
-    Button_show_anchor.click(fn=click_predanchors, inputs=[Image_input, Num_anchor, Radio_resolution, Ckeckbox_editable], outputs=Image_anchor)
-    Button_run.click(fn=click_colorize, inputs=[Image_input, Image_anchor, Num_anchor, Radio_resolution, Ckeckbox_editable], \
-                    outputs=Image_output)
-    
-    ## guiline
-    gr.Markdown(value="""    
-                    🔔**Guideline**
-                    1. Upload your image or select one from the examples.
-                    2. Set up the arguments: "Num. of anchors" and "Colorization resolution".
-                    3. Run the colorization (two modes supported):
-                        - 📀Automatic mode: **Click** "Colorize" to get the automatically colorized output.
-                        - ✏️Editable mode: **Check** ""Show editable anchors"; **Click** "Predict anchors"; **Redraw** the anchor colors (only anchor region will be used); **Click** "Colorize" to get the result.
-                    """)
-    if RUN_MODE != "local":
-        gr.Examples(examples=[
-                    ['01.jpg', 8, "Low (256x256)"],
-                    ['02.jpg', 8, "Low (256x256)"],
-                    ['03.jpg', 8, "Low (256x256)"],
-                    ['04.jpg', 8, "Low (256x256)"],
-                    ], 
-                    inputs=[Image_input,Num_anchor,Radio_resolution], outputs=[Image_output], label="Examples")
-    gr.HTML(value="""
-                <p style="text-align:center; color:orange"><a href='https://menghanxia.github.io/projects/disco.html' target='_blank'>DISCO Project Page</a> | <a href='https://github.com/MenghanXia/DisentangledColorization' target='_blank'>Github Repo</a></p>
-                    """)
-
-if RUN_MODE == "local":
-    demo.launch(server_name='9.134.253.83',server_port=7788)
-else:
+import gradio as gr
+import os, requests
+import numpy as np
+from inference import setup_model, colorize_grayscale, predict_anchors
+
+## local |  remote
+RUN_MODE = "remote"
+if RUN_MODE != "local":
+    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/disco-beta.pth.rar")
+    os.rename("disco-beta.pth.rar", "./checkpoints/disco-beta.pth.rar")
+    ## examples
+    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/01.jpg")
+    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/02.jpg")
+    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/03.jpg")
+    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/04.jpg")
+
+## step 1: set up model
+device = "cpu"
+checkpt_path = "checkpoints/disco-beta.pth.rar"
+colorizer, colorLabeler = setup_model(checkpt_path, device=device)
+
+def click_colorize(rgb_img, hint_img, n_anchors, is_high_res, is_editable):
+    if hint_img is None:
+        hint_img = rgb_img
+    output = colorize_grayscale(colorizer, colorLabeler, rgb_img, hint_img, n_anchors, is_high_res, is_editable, device)
+    return output
+
+def click_predanchors(rgb_img, n_anchors, is_high_res, is_editable):
+    output = predict_anchors(colorizer, colorLabeler, rgb_img, n_anchors, is_high_res, is_editable, device)
+    return output
+
+## step 2: configure interface
+def switch_states(is_checked):
+    if is_checked:
+        return gr.Image.update(visible=True), gr.Button.update(visible=True)
+    else:
+        return gr.Image.update(visible=False), gr.Button.update(visible=False)
+
+demo = gr.Blocks(title="DISCO")
+with demo:
+    gr.Markdown(value="""
+                    **Gradio demo for DISCO: Disentangled Image Colorization via Global Anchors**. Check our [project page](https://menghanxia.github.io/projects/disco.html) 😛.
+                    """)
+    with gr.Row():
+        with gr.Column():
+            with gr.Row():
+                Image_input = gr.Image(type="numpy", label="Input", interactive=True).style(height=480)
+                Image_anchor = gr.Image(type="numpy", label="Anchor", tool="color-sketch", interactive=True, visible=False).style(height=480)
+            with gr.Row():
+                Num_anchor = gr.Number(type="int", value=8, label="Num. of anchors (3~14)")
+                Radio_resolution = gr.Radio(type="index", choices=["Low (256x256)", "High (512x512)"], \
+                                                label="Colorization resolution (Low is more stable)", value="Low (256x256)")
+            with gr.Row():
+                Ckeckbox_editable = gr.Checkbox(default=False, label='Show editable anchors')
+                Button_show_anchor = gr.Button(value="Predict anchors", visible=False)
+            Button_run = gr.Button(value="Colorize")
+        with gr.Column():
+            Image_output = gr.Image(type="numpy", label="Output").style(height=480)
+
+    Ckeckbox_editable.change(fn=switch_states, inputs=Ckeckbox_editable, outputs=[Image_anchor, Button_show_anchor])
+    Button_show_anchor.click(fn=click_predanchors, inputs=[Image_input, Num_anchor, Radio_resolution, Ckeckbox_editable], outputs=Image_anchor)
+    Button_run.click(fn=click_colorize, inputs=[Image_input, Image_anchor, Num_anchor, Radio_resolution, Ckeckbox_editable], \
+                    outputs=Image_output)
+    
+    ## guiline
+    gr.Markdown(value="""    
+                    🔔**Guideline**
+                    1. Upload your image or select one from the examples.
+                    2. Set up the arguments: "Num. of anchors" and "Colorization resolution".
+                    3. Run the colorization (two modes supported):
+                        - 📀Automatic mode: **Click** "Colorize" to get the automatically colorized output.
+                        - ✏️Editable mode: **Check** ""Show editable anchors"; **Click** "Predict anchors"; **Redraw** the anchor colors (only anchor region will be used); **Click** "Colorize" to get the result.
+                    """)
+    if RUN_MODE != "local":
+        gr.Examples(examples=[
+                    ['01.jpg', 8, "Low (256x256)"],
+                    ['02.jpg', 8, "Low (256x256)"],
+                    ['03.jpg', 8, "Low (256x256)"],
+                    ['04.jpg', 8, "Low (256x256)"],
+                    ], 
+                    inputs=[Image_input,Num_anchor,Radio_resolution], outputs=[Image_output], label="Examples")
+    gr.HTML(value="""
+                <p style="text-align:center; color:orange"><a href='https://menghanxia.github.io/projects/disco.html' target='_blank'>DISCO Project Page</a> | <a href='https://github.com/MenghanXia/DisentangledColorization' target='_blank'>Github Repo</a></p>
+                    """)
+
+if RUN_MODE == "local":
+    demo.launch(server_name='9.134.253.83',server_port=7788)
+else:
     demo.launch()