Update app.py

app.py

@@ -84,7 +84,7 @@ def detect_and_crop(image: Image.Image, object_name: str) -> Image.Image:
     with torch.no_grad():
         outputs = model_gnd(**inputs)
     results = processor_gnd.post_process_grounded_object_detection(
-        outputs, inputs.input_ids, box_threshold=0.4, text_threshold=0.3, target_sizes=[(height, width)]
+        outputs, inputs.input_ids, threshold=0.4, text_threshold=0.3, target_sizes=[(height, width)]
     )
     if not results or len(results[0]['boxes']) == 0:
         print("  [Detect & Crop] ⚠ Warning: Grounding DINO did not detect the object. Using full image.")