Updated style

app.py

@@ -6,12 +6,15 @@ import gradio as gr
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model, preprocess = clip.load("ViT-B/32", device=device)
 
+
 def allure(image, gender):
     image = Image.fromarray(image.astype("uint8"), "RGB")
     gender = gender.lower()
     image = preprocess(image).unsqueeze(0).to(device)
-    positive_terms = [f'a hot {gender}', f'a beautiful {gender}', f'an alluring {gender}']
-    negative_terms = [f'a gross {gender}', f'an ugly {gender}', f'a hideous {gender}']
+    positive_terms = [f'a hot {gender}',
+                      f'a beautiful {gender}', f'an alluring {gender}']
+    negative_terms = [f'a gross {gender}',
+                      f'an ugly {gender}', f'a hideous {gender}']
 
     pairs = list(zip(positive_terms, negative_terms))
 
@@ -24,7 +27,7 @@ def allure(image, gender):
             return probs[0]
 
     probs = [evaluate(pair) for pair in pairs]
-    
+
     positive_probs = [prob[0] for prob in probs]
     negative_probs = [prob[1] for prob in probs]
 
@@ -38,7 +41,16 @@ def allure(image, gender):
     composite = round(composite, 2)
     return composite, hotness_score, beauty_score, attractiveness_score
 
-iface = gr.Interface(
+
+with gr.Interface(
+    theme=gr.themes.Soft(
+        font=[gr.themes.GoogleFont("Quicksand"),
+              "ui-sans-serif", "sans-serif"],
+        font_mono=[fonts.GoogleFont("IBM Plex Mono"),
+                   "ui-monospace", "monospace"],
+        primary_hue="cyan",
+        secondary_hue="cyan",
+        radius_size="lg"),
     fn=allure,
     inputs=[
         gr.inputs.Image(label="Image"),
@@ -56,11 +68,18 @@ iface = gr.Interface(
         gr.Textbox(label="Beauty (%)"),
         gr.Textbox(label="Allure (%)"),
     ],
-    examples = [
+    examples=[
         ['Mansib_01_x2048.png', 'Man'],
         ['Mansib_02_x2048.png', 'Man']
     ],
     title="Attractiveness Evaluator (powered by OpenAI CLIP)",
-    description="A simple attractiveness evaluation app using OpenAI's CLIP model. \nHow it works: \nThe input image is passed to OpenAI's CLIP image captioning model and evaluated for how much it conforms to the model's idea of hotness, beauty, and attractiveness. These values are then combined to produce a composite score on a scale of 0 to 100.\nNote: This is meant solely for educational use.",
-)
+    description="A simple attractiveness evaluation app using OpenAI's CLIP model.",
+) as iface:
+    with gr.Accordion("How does it work?"):
+        gr.Markdown(
+"""The input image is passed to OpenAI's CLIP image captioning model and evaluated for how much it conforms to the model's idea of hotness, beauty, and attractiveness. 
+These values are then combined to produce a composite score on a scale of 0 to 100.
+# ⚠️ WARNING: This is meant solely for educational use.""")
+
+iface.queue() # Add `api_open = False` to disable direct API access.
 iface.launch()