Update app.py

app.py

@@ -95,7 +95,7 @@ def infer_video_depth(
                 depth_vis = np.stack([depth_norm] * 3, axis=-1)
             else:
                 cmap = cm.get_cmap("inferno")
-                # cmap liefert RGBA – wir verwenden die ersten 3 Kanäle und skalieren auf 255
+                # cmap returns RGBA; we use only the first 3 channels and scale to 255
                 depth_vis = (cmap(depth_norm / 255.0)[..., :3] * 255).astype(np.uint8)
             # Apply Gaussian blur if requested (blur factor > 0)
             if blur > 0:
@@ -122,7 +122,8 @@ def construct_demo():
         
         with gr.Row(equal_height=True):
             with gr.Column(scale=1):
-                input_video = gr.Video(label="Input Video", source="upload", type="filepath")
+                # Hier den Parameter "source" entfernt, sodass nur type="filepath" übrig bleibt.
+                input_video = gr.Video(label="Input Video", type="filepath")
             with gr.Column(scale=2):
                 with gr.Row(equal_height=True):
                     processed_video = gr.Video(label="Preprocessed Video", interactive=False, autoplay=True, loop=True, show_share_button=True, scale=5)
@@ -160,5 +161,5 @@ def construct_demo():
 
 if __name__ == "__main__":
     demo = construct_demo()
-    demo.queue()  # Asynchrone Verarbeitung aktivieren
+    demo.queue()  # Enable asynchronous processing
     demo.launch(share=True)