app.py

app.py

@@ -57,8 +57,8 @@ def predict(image_file, segmentation_png, bitmap_img):
   
 # input
 input = [gr.inputs.Image(type="filepath", label="Ground Truth - Real Image (jpg)"), 
-         gr.inputs.Image(type="filepath", label="Segementated image (png)"),
-         gr.inputs.Image(type="filepath", label="corresponding bitmap image (bmp)", image_mode="L")]
+         gr.inputs.Image(type="filepath", label="Corresponding Segmentation (png)"),
+         gr.inputs.Image(type="filepath", label="Corresponding bitmap image (bmp)", image_mode="L")]
 
 examples = [["facades_data/cmp_b0010.jpg", "facades_data/cmp_b0010.png", "facades_data/cmp_b0010.bmp"],
             ["facades_data/cmp_b0020.jpg", "facades_data/cmp_b0020.png", "facades_data/cmp_b0020.bmp"],