Update app.py

app.py

@@ -36,7 +36,7 @@ def frame_to_timecode(frame_num, original_fps, desired_fps):
     seconds = int(total_seconds % 60)
     milliseconds = int((total_seconds - int(total_seconds)) * 1000)
     return f"{hours:02d}:{minutes:02d}:{seconds:02d}.{milliseconds:03d}"
-
+    
 def get_face_embedding_and_emotion(face_img):
     face_tensor = torch.tensor(face_img).permute(2, 0, 1).unsqueeze(0).float() / 255
     face_tensor = (face_tensor - 0.5) / 0.5
@@ -92,6 +92,8 @@ def extract_frames(video_path, output_folder, fps):
         print(f"FFmpeg output: {e.output}")
         raise
 
+import fractions
+
 def extract_and_align_faces_from_video(video_path, aligned_faces_folder, desired_fps):
     print(f"Processing video: {video_path}")
     
@@ -111,7 +113,10 @@ def extract_and_align_faces_from_video(video_path, aligned_faces_folder, desired
     ]
     ffprobe_output = subprocess.check_output(ffprobe_command, universal_newlines=True).strip().split(',')
     frame_count = int(ffprobe_output[0])
-    original_fps = eval(ffprobe_output[1])
+    
+    # Convert fractional frame rate to float
+    frac = fractions.Fraction(ffprobe_output[1])
+    original_fps = float(frac.numerator) / float(frac.denominator)
     
     print(f"Total frames: {frame_count}, Original FPS: {original_fps}, Desired FPS: {desired_fps}")