Update app.py

Naw, that didn't work none too good, I reckon

app.py

@@ -1,4 +1,4 @@
-from diffusers import DiffusionPipeline
+from diffusers import StableDiffusionInpaintPipeline
 import gradio as gr
 import numpy as np
 import imageio
@@ -7,7 +7,7 @@ import torch
 import modin.pandas as pd
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0") #StableDiffusionInpaintPipeline.from_pretrained("stabilityai/stable-diffusion-2-inpainting", safety_checker=None)
+pipe = StableDiffusionInpaintPipeline.from_pretrained("stabilityai/stable-diffusion-2-inpainting", safety_checker=None)
 pipe = pipe.to(device)
 
 def resize(value,img):
@@ -18,13 +18,13 @@ def resize(value,img):
 def predict(source_img, prompt, negative_prompt):
     imageio.imwrite("data.png", source_img["image"])
     imageio.imwrite("data_mask.png", source_img["mask"])
-    src = resize(512, "data.png")
+    src = resize(768, "data.png")
     src.save("src.png")
-    mask = resize(512, "data_mask.png")  
+    mask = resize(768, "data_mask.png")  
     mask.save("mask.png")
     image = pipe(prompt=prompt, negative_prompt=negative_prompt, image=mask, num_inference_steps=20).images[0]
     return image
 
 title="Stable Diffusion 2.0 Inpainting CPU"
 description="Inpainting with Stable Diffusion 2.0 <br />Warning: Slow process... ~10 min inference time.<br> <b>Please use 512x512 or 768x768 square .png image as input to avoid memory error!!!</b>"
-gr.Interface(fn=predict, inputs=[gr.Image(source="canvas", type="numpy", tool="sketch", elem_id="source_container"), gr.Textbox(label='What you want the AI to Generate, 77 Token limit'), gr.Textbox(label='What you Do Not want the AI to generate')], outputs='image', title=title, description=description, article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(max_threads=True, debug=True)
+gr.Interface(fn=predict, inputs=[gr.Image(source="upload", type="numpy", tool="sketch", elem_id="source_container"), gr.Textbox(label='What you want the AI to Generate, 77 Token limit'), gr.Textbox(label='What you Do Not want the AI to generate')], outputs='image', title=title, description=description, article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(max_threads=True, debug=True)