Update app.py

app.py

@@ -14,19 +14,13 @@ from matplotlib import pyplot as plt
 from torchvision import transforms
 from diffusers import DiffusionPipeline
 
-from share_btn import community_icon_html, loading_icon_html, share_js
-
-auth_token = os.environ.get("API_TOKEN") or True
-
-device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = DiffusionPipeline.from_pretrained(
+    "patrickvonplaten/new_inpaint_test",
+    torch_dtype=torch.float16,
+)
+pipe = pipe.to("cuda")
 
-pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", dtype=torch.float16, revision="fp16", use_auth_token=auth_token).to(device)
-
-transform = transforms.Compose([
-      transforms.ToTensor(),
-      transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
-      transforms.Resize((512, 512)),
-])
+from share_btn import community_icon_html, loading_icon_html, share_js
 
 def read_content(file_path: str) -> str:
     """read the content of target file
@@ -36,11 +30,11 @@ def read_content(file_path: str) -> str:
 
     return content
 
-def predict(dict, prompt=""):
-    init_image = dict["image"].convert("RGB").resize((512, 512))
-    mask = dict["mask"].convert("RGB").resize((512, 512))
-    output = pipe(prompt = prompt, image=init_image, mask_image=mask,guidance_scale=7.5)
-    return output.images[0], gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
+def predict(dict, example_image):
+    init_image = dict["image"].convert("RGB")
+    mask = dict["mask"].convert("RGB")
+    image = pipe(image=init_image, mask_image=mask, example_image=example_image).images[0]
+    return image, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
 
 
 css = '''
@@ -89,9 +83,9 @@ with image_blocks as demo:
         with gr.Box():
             with gr.Row():
                 with gr.Column():
-                    image = gr.Image(source='upload', tool='sketch', elem_id="image_upload", type="pil", label="Upload").style(height=400)
+                    image = gr.Image(source='upload', tool='sketch', elem_id="image_upload", type="pil", label="Upload")
+                    example = gr.Image(source='upload', elem_id="image_upload", type="pil", label="Upload")
                     with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
-                        prompt = gr.Textbox(placeholder = 'Your prompt (what you want in place of what is erased)', show_label=False, elem_id="input-text")
                         btn = gr.Button("Inpaint!").style(
                             margin=False,
                             rounded=(False, True, True, False),
@@ -105,7 +99,7 @@ with image_blocks as demo:
                         share_button = gr.Button("Share to community", elem_id="share-btn", visible=False)
             
 
-            btn.click(fn=predict, inputs=[image, prompt], outputs=[image_out, community_icon, loading_icon, share_button])
+            btn.click(fn=predict, inputs=[image, example], outputs=[image_out, community_icon, loading_icon, share_button])
             share_button.click(None, [], [], _js=share_js)