Update app.py

app.py

@@ -31,8 +31,8 @@ def get_frame_count(filepath):
         video.release()
 
         #LIMITS
-        #if frame_count > 24 :
-        #    frame_count = 24 # limit to 24 frames to avoid cuDNN errors
+        if frame_count > 24 :
+            frame_count = 24 # limit to 24 frames to avoid cuDNN errors
 
         return gr.update(maximum=frame_count)
 
@@ -140,12 +140,12 @@ def run_inference(prompt, video_path, condition, video_length, seed, steps):
     
     # Get FPS of original video input
     target_fps = get_video_dimension(video_path)[2] 
-    #if target_fps > 12 :
-    #    print(f"FPS is too high: {target_fps}")
-    #    video_length = int((12 * video_length) / target_fps)
-        
-    #    target_fps = 12
-    #print(f"NEW INPUT FPS: {target_fps}, NEW FPS: {video_length}")
+    if target_fps > 12 :
+        print(f"FPS is too high: {target_fps}")
+        # video_length = int((12 * video_length) / target_fps)
+            
+        target_fps = 12
+    print(f"NEW INPUT FPS: {target_fps}, NEW FPS: {video_length}")
     
     # Count total frames according to fps
     total_frames = get_video_dimension(video_path)[3]