remove vid

app.py

@@ -43,7 +43,6 @@ def infer_video(path_input, seed):
 
 def run_demo_server():
     infer_gpu = spaces.GPU(functools.partial(infer))
-    infer_video_gpu = spaces.GPU(functools.partial(infer_video))
     gradio_theme = gr.themes.Default()
 
     with gr.Blocks(
@@ -109,96 +108,49 @@ def run_demo_server():
         """
         )
         with gr.Tabs(elem_classes=["tabs"]):
-            with gr.Tab("IMAGE"):
-                with gr.Row():
-                    with gr.Column():
-                        image_input = gr.Image(
-                            label="Input Image",
-                            type="filepath",
-                        )
-                        seed = gr.Number(
-                            label="Seed (only for Generative mode)",
-                            minimum=0,
-                            maximum=999999999,
+            with gr.Row():
+                with gr.Column():
+                    image_input = gr.Image(
+                        label="Input Image",
+                        type="filepath",
+                    )
+                    seed = gr.Number(
+                        label="Seed (only for Generative mode)",
+                        minimum=0,
+                        maximum=999999999,
+                    )
+                    with gr.Row():
+                        image_submit_btn = gr.Button(
+                            value="Predict Depth!", variant="primary"
                         )
-                        with gr.Row():
-                            image_submit_btn = gr.Button(
-                                value="Predict Depth!", variant="primary"
-                            )
-                            image_reset_btn = gr.Button(value="Reset")
-                    with gr.Column():
-                        image_output_g = ImageSlider(
-                            label="Output (Generative)",
+                        image_reset_btn = gr.Button(value="Reset")
+                with gr.Column():
+                    image_output_g = ImageSlider(
+                        label="Output (Generative)",
+                        type="filepath",
+                        interactive=False,
+                        elem_classes="slider",
+                        position=0.25,
+                    )
+                    with gr.Row():
+                        image_output_d = ImageSlider(
+                            label="Output (Discriminative)",
                             type="filepath",
                             interactive=False,
                             elem_classes="slider",
                             position=0.25,
                         )
-                        with gr.Row():
-                            image_output_d = ImageSlider(
-                                label="Output (Discriminative)",
-                                type="filepath",
-                                interactive=False,
-                                elem_classes="slider",
-                                position=0.25,
-                            )
-
-                gr.Examples(
-                    fn=infer_gpu,
-                    examples=sorted([
-                        [os.path.join("files", "images", name), 0]
-                        for name in os.listdir(os.path.join("files", "images"))
-                    ]),
-                    inputs=[image_input, seed],
-                    outputs=[image_output_g, image_output_d],
-                    cache_examples=False,
-                )
-
-            with gr.Tab("VIDEO"):
-                with gr.Row():
-                    with gr.Column():
-                        input_video = gr.Video(
-                            label="Input Video",
-                            autoplay=True,
-                            loop=True,
-                        )
-                        seed = gr.Number(
-                            label="Seed (only for Generative mode)",
-                            minimum=0,
-                            maximum=999999999,
-                        )
-                        with gr.Row():
-                            video_submit_btn = gr.Button(
-                                value="Predict Depth!", variant="primary"
-                            )
-                            video_reset_btn = gr.Button(value="Reset")
-                    with gr.Column():
-                        video_output_g = gr.Video(
-                            label="Output (Generative)",
-                            interactive=False,
-                            autoplay=True,
-                            loop=True,
-                            show_share_button=True,
-                        )
-                        with gr.Row():
-                            video_output_d = gr.Video(
-                                label="Output (Discriminative)",
-                                interactive=False,
-                                autoplay=True,
-                                loop=True,
-                                show_share_button=True,
-                            )
 
-                gr.Examples(
-                    fn=infer_video_gpu,
-                    examples=sorted([
-                        [os.path.join("files", "videos", name), 0]
-                        for name in os.listdir(os.path.join("files", "videos"))
-                    ]),
-                    inputs=[input_video, seed],
-                    outputs=[video_output_g, video_output_d],
-                    cache_examples=False,
-                )
+            gr.Examples(
+                fn=infer_gpu,
+                examples=sorted([
+                    [os.path.join("files", "images", name), 0]
+                    for name in os.listdir(os.path.join("files", "images"))
+                ]),
+                inputs=[image_input, seed],
+                outputs=[image_output_g, image_output_d],
+                cache_examples=False,
+            )
 
         ### Image
         image_submit_btn.click(
@@ -218,25 +170,12 @@ def run_demo_server():
             queue=False,
         )
 
-        ### Video
-        video_submit_btn.click(
-            fn=infer_video_gpu,
-            inputs=[input_video, seed],
-            outputs=[video_output_g, video_output_d],
-            queue=True,
-        )
-        video_reset_btn.click(
-            fn=lambda: (None, None, None),
-            inputs=[],
-            outputs=[video_output_g, video_output_d],
-        )
-
         ### Server launch
         demo.queue(
             api_open=False,
         ).launch(
             server_name="0.0.0.0",
-            server_port=7860,
+            server_port=7861,
         )
 
 def main():