Update README Code

README.md

@@ -29,9 +29,9 @@ from torch.utils.data import DataLoader
 
 def load_datasets():
     data_transforms = [
-      transforms.Resize((IMG_SIZE, IMG_SIZE)),
-      transforms.ToTensor(), # Scales data into [0,1]
-      transforms.Lambda(lambda t: (t * 2) - 1) # Scale between [-1, 1]
+        transforms.Resize((IMG_SIZE, IMG_SIZE)),
+        transforms.ToTensor(), # Scales data into [0,1]
+        transforms.Lambda(lambda t: (t * 2) - 1) # Scale between [-1, 1]
     ]
     data_transform = transforms.Compose(data_transforms)
     
@@ -40,9 +40,9 @@ def load_datasets():
     # validation = load_dataset("mickylan2367/spectrogram", split="validation")
     
     for idx in range(len(train["image"])):
-      train["image"][idx] = data_transform(train["image"][idx])
-      # test["image"][idx] = data_transform(test["image"][idx])
-      # validation["image"][idx] = data_transform(validation["image"][idx])
+        train["image"][idx] = data_transform(train["image"][idx])
+        # test["image"][idx] = data_transform(test["image"][idx])
+        # validation["image"][idx] = data_transform(validation["image"][idx])
     
     train = Dataset.from_dict(train)
     # test = Dataset.from_dict(test)