Update app.py

app.py

@@ -27,7 +27,7 @@ img_pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
 )
 img_pipe.to(device)
 
-source_img = gr.Image(tool="sketch", sources=["upload", "webcam", "clipboard"], type="filepath", label="Add Image for Text Guided Editing and Sketch")
+source_img = gr.Image(sources=["upload", "webcam", "clipboard"], type="filepath", label="Add Image for Text Guided Editing and Sketch")
 gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[1], height="auto")
 
 def resize(value,img):
@@ -39,14 +39,6 @@ def resize(value,img):
   img = img.resize((value,value), Image.Resampling.LANCZOS)
   return img
 
-def process_sketch(input_data):
-    # input_data is a dict with "image" and "mask" keys
-    image = input_data["image"]
-    mask = input_data["mask"]
-    
-    # Example: return the mask to show it works
-    return mask
-
 def infer(source_img, prompt, guide, steps, seed, strength):
     generator = torch.Generator("cpu").manual_seed(seed)