Update app.py

app.py

@@ -15,8 +15,6 @@ from diffusers.utils import load_image
 from pipeline_flux_control_removal import FluxControlRemovalPipeline
 pipe = None
 torch.set_grad_enabled(False)
-image_path = mask_path = None
-image_examples = [...] 
 image_path = mask_path =None
 image_examples = [
     [
@@ -100,7 +98,7 @@ def predict(
     mask_paths
 
 ):
-    global image_path, mask_path
+
     gr.Info(str(f"Set seed = {seed}"))
     if image_paths is not None:
         input_image["background"] = load_image(image_paths).convert("RGB")