Update app.py

app.py

@@ -19,7 +19,7 @@ pipe = StableDiffusionInpaintPipeline.from_pretrained(
 def inpaint_image(image, mask, prompt, negative_prompt):
     # Convert PIL images to numpy arrays if needed
     # Process your images as required by your inpainting model
-    n_image = pipe(prompt, image=image, mask_image=mask, guidance_scale=5,height=int(8*round(pil_img.height/8)), width=int(8*round(pil_img.width/8)), num_inference_steps=70,negative_prompt=negative_prompt).images[0]  
+    n_image = pipe(prompt, image=image, mask_image=mask, guidance_scale=5,height=int(8*round(image.height/8)), width=int(8*round(image.width/8)), num_inference_steps=70,negative_prompt=negative_prompt).images[0]  
     return n_image
 
 def process_files(image_file, mask_file, prompt, negative_prompt):