Update app.py

app.py

@@ -2,12 +2,12 @@ import gradio as gr
 import torch
 import spaces
 from diffusers import FluxInpaintPipeline
-from PIL import Image, ImageFile
+from PIL import Image #, ImageFile
 import io
 import numpy as np
 
 # Enable loading of truncated images
-ImageFile.LOAD_TRUNCATED_IMAGES = True
+# ImageFile.LOAD_TRUNCATED_IMAGES = True
 
 # Initialize the pipeline
 pipe = FluxInpaintPipeline.from_pretrained(
@@ -157,8 +157,7 @@ with gr.Blocks() as demo:
             input_image = gr.Image(
                 label="Upload Logo Image",
                 type="pil",
-                height=384,
-                tool=None  # Disable editing tools to prevent corruption
+                height=384
             )
             prompt_input = gr.Textbox(
                 label="Where should the logo be applied?",