Load different dataset (detection-datasets/coco

app.py

@@ -10,7 +10,10 @@ from PIL import Image
 import torch
 
 # Get merve/coco dataset
-dataset = load_dataset("merve/coco", split='train', stream=True)
+from datasets import load_dataset
+
+#Load dataset (detection-datasets/coco)
+dataset = load_dataset("detection-datasets/coco")
 
 # Reduce dataset to 20 rows, i.e., get sample
 samples = list(dataset_stream.take(20))