theme change

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+from gradio.themes.base import Base
 import spaces
 from PIL import Image
 from src.tryon_pipeline import StableDiffusionXLInpaintPipeline as TryonPipeline
@@ -28,6 +29,10 @@ from detectron2.data.detection_utils import convert_PIL_to_numpy,_apply_exif_ori
 from torchvision.transforms.functional import to_pil_image
 import amazon_oxy
 
+
+class Seafoam(Base):
+    pass
+
 def pil_to_binary_mask(pil_image, threshold=0):
     np_image = np.array(pil_image)
     grayscale_image = Image.fromarray(np_image).convert("L")
@@ -278,9 +283,9 @@ def open_link(link):
     print(f"link is {link}")
     return link
 ##default human
-my_theme = gr.Theme.from_hub("gradio/small_and_pretty")
+seafoam = Seafoam()
 
-image_blocks = gr.Blocks(theme=my_theme).queue()
+image_blocks = gr.Blocks(theme=seafoam).queue()
 with image_blocks as demo:
     gr.HTML("<center><h1>Shop with Window 🛍️👗👕🛒</h1></center>")
     gr.HTML("<center><p>Upload an image of yourself or select from examples then describe your garment in the text box and wait for the magic. ✨</p></center>")
@@ -298,6 +303,10 @@ with image_blocks as demo:
                 examples_per_page=10,
                 examples=human_ex_list
             )
+            with gr.Accordion(label="Advanced Settings", open=False):
+                with gr.Row():
+                    denoise_steps = gr.Number(label="Denoising Steps", minimum=20, maximum=40, value=30, step=1)
+                    seed = gr.Number(label="Seed", minimum=-1, maximum=2147483647, step=1, value=42)
 
         with gr.Column():
             prompt = gr.Textbox(placeholder="Description of garment ex: Yellow Top", show_label=False, elem_id="prompt")
@@ -314,13 +323,7 @@ with image_blocks as demo:
             buy_link = gr.Textbox(label="URL of Selected Image", interactive=False, visible= False)
             buy_button = gr.Button(value="Like it? Click to buy")
             output = gr.HTML()
-    with gr.Column():    
-        with gr.Accordion(label="Advanced Settings", open=False):
-            with gr.Row():
-                denoise_steps = gr.Number(label="Denoising Steps", minimum=20, maximum=40, value=30, step=1)
-                seed = gr.Number(label="Seed", minimum=-1, maximum=2147483647, step=1, value=42)
-        
-
+   
     fetch_button.click(fn=fetch_products, inputs=prompt, outputs=[image_gallery, url_display])
     image_gallery.select(select_image, [image_gallery, url_display], [garm_img, buy_link])
     try_button.click(fn=start_tryon, inputs=[imgs, garm_img, prompt, is_checked,is_checked_crop, denoise_steps, seed], outputs=[image_out,masked_img], api_name='tryon')