fix: SAM2 post_process_masks signature + use text_labels (transformers 5.8.1 compat)

app.py

@@ -205,6 +205,10 @@ def analyze(image_base64: str) -> dict:
         sam2_model.to(device)
         segments = []
 
+        # Sort by score descending so highest-confidence detections survive MAX_SEGMENTS cap.
+        sorted_detections = sorted(zip(scores, boxes, labels), reverse=True)
+        scores, boxes, labels = zip(*sorted_detections) if sorted_detections else ([], [], [])
+
         for box, label, score in zip(boxes, labels, scores):
             if len(segments) >= MAX_SEGMENTS:
                 break