Update app.py

app.py

@@ -15,14 +15,14 @@ def inference(video):
       downsample_ratio=0.25,           # [Optional] If None, make downsampled max size be 512px.
       output_type='video',             # Choose "video" or "png_sequence"
       output_composition='com.mp4',    # File path if video; directory path if png sequence.
-      output_alpha= None,          # [Optional] Output the raw alpha prediction.
-      output_foreground= None,     # [Optional] Output the raw foreground prediction.
+      output_alpha="pha.mp4",          # [Optional] Output the raw alpha prediction.
+      output_foreground="fgr.mp4",     # [Optional] Output the raw foreground prediction.
       output_video_mbps=4,             # Output video mbps. Not needed for png sequence.
       seq_chunk=7,                    # Process n frames at once for better parallelism.
       num_workers=1,                   # Only for image sequence input. Reader threads.
       progress=True                    # Print conversion progress.
   )
-  return 'com.mp4'
+  return 'com.mp4',"pha.mp4","fgr.mp4"
   
 title = "Robust Video Matting"
 description = "Gradio demo for Robust Video Matting. To use it, simply upload your video, or click one of the examples to load them. Read more at the links below."
@@ -33,7 +33,7 @@ examples = [['pexels-darina-belonogova-7539228.mp4']]
 gr.Interface(
     inference, 
     gr.inputs.Video(label="Input"), 
-    gr.outputs.Video(label="Output"),
+    [gr.outputs.Video(label="Output Composition"),gr.outputs.Video(label="Output Alpha"),gr.outputs.Video(label="Output Foreground")],
     title=title,
     description=description,
     article=article,