Update app.py

app.py

@@ -21,7 +21,7 @@ def predict_bounding_boxes(imageurl:str):
         outputs = box_model(**inputs)
 
         target_sizes = torch.tensor([image_data.size[::-1]])
-        results = box_processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
+        results = box_processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.7)[0]
 
         detections = [{"score": score.item(), "label": box_model.config.id2label[label.item()], "box": box.tolist()} for score, label, box in zip(results["scores"], results["labels"], results["boxes"])]