refactor

app.py

@@ -85,18 +85,16 @@ def infer(edit_images, prompt, lora_model, strength, seed=42, randomize_seed=Fal
         pipe.load_lora_weights(lora_models[lora_model])
         pipe.enable_lora()
 
-    image_path = edit_images["background"]
-    mask_path = edit_images["layers"][0]
-
     gr.Info("starting checks")
 
-    image: Image.Image = Image.open(image_path)
-    mask: Image.Image = Image.open(mask_path)
+    image = edit_images["background"]
+    mask = edit_images["layers"][0]
 
     if not image:
         gr.Info("Please upload an image.")
         return None, None
 
+
     width, height = calculate_optimal_dimensions(image)
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)