Update app.py

app.py

@@ -11,13 +11,13 @@ def yolov8_func(image,
 
     # Load the YOLOv8 model
     model_path = "best.pt"
-    model = YOLO(model_path)  # Use your custom model path here
+    model = YOLO(model_path)  
 
     # Make predictions
     result = model.predict(image, conf=conf_thresold, iou=iou_thresold, imgsz=image_size)
 
     # Access object detection results
-    boxes = result[0].boxes  # Bounding boxes
+    boxes = result[0].boxes  
     num_boxes = len(boxes)   # Count the number of bounding boxes (detections)
 
     # Print object detection details (optional)