Update app.py

app.py

@@ -35,8 +35,8 @@ def predict(filename, model=None, device=None, reduce_labels=True):
     for i in range(3):
         img_channel_i = img_data[:,:,i]
         if len(img_channel_i[np.nonzero(img_channel_i)])>0:
-	    pre_img_data[:,:,i] = normalize_channel(img_channel_i, lower=1, upper=99)
-#dummy_input = np.zeros((512,512,3)).astype(np.uint8)
+            pre_img_data[:,:,i] = normalize_channel(img_channel_i, lower=1, upper=99)
+
     my_model = MultiStreamCellSegModel.from_pretrained("Lewislou/cellseg_sribd")
     checkpoints = torch.load('model.pt')
     my_model.__init__(ModelConfig())