Update app.py

app.py

@@ -14,10 +14,10 @@ def inference(video):
   #clip = VideoFileClip(video).subclip(0, 5)
   #clip.write_videofile("output.mp4")
   #os.system('ffmpeg -ss 00:00:00 -i '+ video +' -to 00:00:05 -c copy -y output.mp4')
-  clip = VideoFileClip(video)
-  print(clip.duration)
-  if clip.duration > 5:
-     return 'trim.mp4',"trim.mp4","trim.mp4"
+ # clip = VideoFileClip(video)
+  #print(clip.duration)
+  #if clip.duration > 5:
+   #  return 'trim.mp4',"trim.mp4","trim.mp4"
   convert_video(
       model,                           # The loaded model, can be on any device (cpu or cuda).
       input_source=video,        # A video file or an image sequence directory.
@@ -28,7 +28,7 @@ def inference(video):
       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=12,                    # Process n frames at once for better parallelism.
+      seq_chunk=8,                    # Process n frames at once for better parallelism.
       num_workers=1,                   # Only for image sequence input. Reader threads.
       progress=True                    # Print conversion progress.
   )