Update app.py

app.py

@@ -200,7 +200,14 @@ def export_to_video_file(video_frames, output_video_path=None, fps=hardcoded_fps
 # 
 #     Scene change detection threshold. Default is 5.0. 
 
-def interpolate_video_frames(input_file_path, output_file_path, output_fps=hardcoded_fps, desired_duration=hardcoded_duration_sec, original_duration=hardcoded_duration_sec, verbose=False):
+def interpolate_video_frames(
+    input_file_path,
+    output_file_path,
+    output_fps=hardcoded_fps,
+    desired_duration=hardcoded_duration_sec,
+    original_duration=hardcoded_duration_sec,
+    use_cuda=True, # this requires FFmpeg to have been compiled with CUDA support (to try - I'm not sure the Hugging Face image has that by default)
+    verbose=False):
     scale_factor = desired_duration / original_duration
     # note: from all fact, it looks like using a small macroblock is important for us,
     # since the video resolution is very small (usually 512x288px)
@@ -217,11 +224,17 @@ def interpolate_video_frames(input_file_path, output_file_path, output_fps=hardc
     cmd = [
         'ffmpeg',
         '-i', input_file_path,
+    ]
+
+    if use_cuda:
+        cmd.extend(['-hwaccel', 'cuda', '-hwaccel_output_format', 'cuda'])
+               
+    cmd.extend([
         '-filter:v', interpolation_filter,
         '-r', str(output_fps),
         output_file_path
-    ]
-
+    ])
+        
     # Adjust the log level based on the verbosity input
     if not verbose:
         cmd.insert(1, '-loglevel')