Update app.py

app.py

@@ -18,6 +18,13 @@ from PIL import Image
 from insightface.app import FaceAnalysis
 from insightface.data import get_image as ins_get_image
 
+MARKDOWN = """
+This demo utilizes <a href="https://huggingface.co/docs/diffusers/en/api/pipelines/stable_diffusion/stable_diffusion_xl">Stable Diffusion XL Pipeline</a> 
+
+Try out with different prompts using your image and do provide your feedback.
+
+**Demo by [Sunder Ali Khowaja](https://sander-ali.github.io) - [X](https://x.com/SunderAKhowaja) -[Github](https://github.com/sander-ali) -[Hugging Face](https://huggingface.co/SunderAli17)**
+"""
 
 device = "cuda"
 ckpt_dir = snapshot_download(repo_id="SunderAli17/SAK")
@@ -119,8 +126,8 @@ def infer(prompt,
 
 
 examples = [
-    ["wearing a full suit sitting in a restaurant with candle lights ", "image/SunderAli_Khowaja.png"]
-    # ["Cowboy, cowboy hat, Wild Cowboy, background is a western town, cactus, sunset, warm colors, shot with XT4 film, noise, vignette, Kodak film, vintage", "image/image2.png"]
+    ["image/SunderAli_Khowaja.png", "wearing a full suit sitting in a restaurant with candle lights"],
+    ["image/test2.jpg", "Wild cowboy hat with western town and horses in the background"]
 ]
 
 
@@ -143,8 +150,21 @@ def load_description(fp):
         content = f.read()
     return content
 
-with gr.Blocks(css=css) as SAK:
-    # gr.HTML(load_description("assets/title.md"))
+theme = gr.themes.Soft(
+    font=[gr.themes.GoogleFont('Source Code Pro'), gr.themes.GoogleFont('Public Sans'), 'system-ui', 'sans-serif'],
+)
+js_func = """
+function refresh() {
+    const url = new URL(window.location);
+    if (url.searchParams.get('__theme') !== 'dark') {
+        url.searchParams.set('__theme', 'dark');
+        window.location.href = url.href;
+    }
+}
+"""
+
+with gr.Blocks(js = js_func, theme = theme) as SAK:
+    gr.Markdown(MARKDOWN)
     with gr.Row():
         with gr.Column(elem_id="col-left"):
             with gr.Row():
@@ -195,7 +215,7 @@ with gr.Blocks(css=css) as SAK:
         gr.Examples(
                 fn = infer,
                 examples = examples,
-                inputs = [prompt, image],
+                inputs = [image, prompt],
                 outputs = [result, seed_used],
             )