Update app.py

app.py

@@ -234,7 +234,7 @@ def detect_paper_bounds(image: np.ndarray, paper_size: str) -> Tuple[np.ndarray,
         if paper_detector is not None:
             # Use trained model if available
             # FIXED: Add verbose=False to suppress prints, and use proper confidence threshold
-            results = paper_detector.predict(image, conf=0.3, verbose=False)  # Lower confidence threshold
+            results = paper_detector.predict(image, conf=0.8, verbose=False)  # Lower confidence threshold
             
             if not results or len(results) == 0:
                 logger.warning("No results from paper detector")