Update app.py

app.py

@@ -3,6 +3,7 @@ import torch
 import numpy as np
 import diffusers
 import os
+from PIL import Image
 hf_token = os.environ.get("HF_TOKEN")
 from diffusers import StableDiffusionXLInpaintPipeline, DDIMScheduler, UNet2DConditionModel
 
@@ -68,7 +69,7 @@ def read_content(file_path: str) -> str:
 
     return content
 
-def predict(dict, prompt="", negative_prompt="", guidance_scale=5, steps=30, strength=1.0, scheduler="EulerDiscreteScheduler"):
+def predict(dict, prompt="", negative_prompt="", guidance_scale=5, steps=30, strength=1.0):
     if negative_prompt == "":
         negative_prompt = None