Update app.py

app.py

@@ -1,4 +1,3 @@
-python -m pip install --upgrade pip
 from diffusers import AutoencoderKL, UNet2DConditionModel, StableDiffusionPipeline, StableDiffusionImg2ImgPipeline, DPMSolverMultistepScheduler
 import gradio as gr
 import torch
@@ -240,33 +239,6 @@ def img_to_img(model_path, prompt, n_images, neg_prompt, img, strength, guidance
 
     # update_state(f"Done. Seed: {seed}")
 
-# Inpainting function
-def inpaint(image, mask):
-    # Convert PIL Image to OpenCV format
-    image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
-    mask = cv2.cvtColor(np.array(mask), cv2.COLOR_RGB2BGR)
-
-    # Perform inpainting
-    inpainted = cv2.inpaint(image, mask, 3, cv2.INPAINT_TELEA)
-
-    # Convert back to PIL Image
-    inpainted = Image.fromarray(cv2.cvtColor(inpainted, cv2.COLOR_BGR2RGB))
-
-    return inpainted
-
-# Gradio interface
-image = gr.inputs.Image()
-mask = gr.inputs.Image()
-
-iface = gr.Interface(
-    fn=inpaint, 
-    inputs=[image, mask], 
-    outputs="image"
-)
-
-iface.launch()
-    return replace_nsfw_images(result)
-
 def replace_nsfw_images(results):
 
     if is_colab: