Update app.py

app.py

@@ -407,13 +407,13 @@ class VideoTagger:
         frame_interval = max(int(frame_interval), 1)
         is_first_load = self.model is None
     
-        if progress:
+        if progress is not None:
             progress(0.0, desc="Loading model..." if is_first_load else "Opening video...")
     
         # Lazy-load model & labels once per process
         self._load_model_if_needed()
     
-        if progress and is_first_load:
+        if progress is not None and is_first_load:
             progress(0.0, desc="Model loaded. Opening video...")
     
         cap = cv2.VideoCapture(video_path)
@@ -451,7 +451,7 @@ class VideoTagger:
                     current_batch_size = min(self.batch_size, remaining_frames)
     
                     # While we are still building the batch, keep percent based on *completed* frames only
-                    if progress:
+                    if progress is not None:
                         pct = processed_frames / sampled_frames
                         progress(
                             pct,
@@ -463,7 +463,7 @@ class VideoTagger:
     
                     # If batch is full, run inference
                     if len(batch_tensors) >= self.batch_size:
-                        if progress:
+                        if progress is not None:
                             beg = processed_frames + 1
                             end = processed_frames + len(batch_tensors)
                             pct = processed_frames / sampled_frames  # still only count completed frames
@@ -488,7 +488,7 @@ class VideoTagger:
                         if current_batch < total_batches:
                             current_batch += 1
     
-                        if progress:
+                        if progress is not None:
                             pct = processed_frames / sampled_frames
                             progress(
                                 pct,
@@ -505,7 +505,7 @@ class VideoTagger:
     
         # Process any leftover frames in the final partial batch
         if batch_tensors:
-            if progress:
+            if progress is not None:
                 beg = processed_frames + 1
                 end = processed_frames + len(batch_tensors)
                 pct = processed_frames / sampled_frames  # still only completed frames
@@ -526,7 +526,7 @@ class VideoTagger:
             )
             processed_frames += done
     
-            if progress:
+            if progress is not None:
                 pct = processed_frames / sampled_frames
                 progress(
                     pct,
@@ -536,7 +536,7 @@ class VideoTagger:
                     ),
                 )
     
-        if progress:
+        if progress is not None:
             progress(1.0, desc="Finalizing tags...")
     
         # Merge & finalize tags