Update app.py

app.py

@@ -201,7 +201,7 @@ def detect_paper_bounds(image: np.ndarray, paper_size: str) -> Tuple[np.ndarray,
         
         if paper_detector is not None:
             # Use trained model if available
-            results = paper_detector.predict(image, conf=0.5)
+            results = paper_detector.predict(image, conf=0.9)
             if not results or len(results) == 0 or len(results[0].boxes) == 0:
                 logger.warning("Model detection failed, using fallback contour detection")
                 return detect_paper_contour(image)