Update core/app.py

core/app.py

@@ -93,6 +93,24 @@ def __init__(self):
         
         logger.info(f"VideoProcessor initialized on device: {self.device_manager.get_optimal_device()}")
     
+    def _initialize_progress_tracker(self, video_path: str, progress_callback: Optional[Callable] = None):
+        """Initialize progress tracker with video frame count"""
+        try:
+            import cv2
+            cap = cv2.VideoCapture(video_path)
+            total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
+            cap.release()
+            
+            if total_frames <= 0:
+                total_frames = 100  # Fallback estimate
+                
+            self.progress_tracker = ProgressTracker(total_frames, progress_callback)
+            logger.info(f"Progress tracker initialized for {total_frames} frames")
+        except Exception as e:
+            logger.warning(f"Could not initialize progress tracker: {e}")
+            # Fallback to basic tracker
+            self.progress_tracker = ProgressTracker(100, progress_callback)
+    
     def load_models(self, progress_callback: Optional[Callable] = None) -> str:
         """Load and validate all AI models"""
         with self.loading_lock:
@@ -165,6 +183,9 @@ def process_video(
         if self.cancel_event.is_set():
             return None, "Processing cancelled"
         
+        # Initialize progress tracker with video frame count
+        self._initialize_progress_tracker(video_path, progress_callback)
+        
         # Validate input file
         is_valid, validation_msg = validate_video_file(video_path)
         if not is_valid: