Update app

app.py

@@ -133,7 +133,7 @@ def predict_on_images(data_files: list, config_path: str, checkpoint: str, mask_
 
     model.eval()
     channels = [bands.index(b) for b in ['B04', 'B03', 'B02']]  # BGR -> RGB
-    
+
     # Reflect pad if not divisible by img_size
     original_h, original_w = input_data.shape[-2:]
     pad_h = img_size - (original_h % img_size)
@@ -268,4 +268,5 @@ Some example images are provided at the end of this page.
 
     inp_files.change(update_visibility, inp_files, timestamps)
 
-demo.launch(share=True, ssr_mode=False)
+if __name__ == '__main__':
+    demo.launch()