Update app.py

app.py

@@ -26,28 +26,28 @@ from multisource_121 import multisource_classification
 from painting_126 import painting_classification
 from sketch_126 import sketch_classification  # New import
 
-# Gradio-Theme
-class Seafoam(Base):
+#Gradio-Theme
+class Minimalist(Base):
     def __init__(
         self,
         *,
-        primary_hue: colors.Color | str = colors.emerald,
-        secondary_hue: colors.Color | str = colors.blue,
-        neutral_hue: colors.Color | str = colors.blue,
+        primary_hue: colors.Color | str = colors.gray,
+        secondary_hue: colors.Color | str = colors.slate,
+        neutral_hue: colors.Color | str = colors.gray,
         spacing_size: sizes.Size | str = sizes.spacing_md,
-        radius_size: sizes.Size | str = sizes.radius_md,
-        text_size: sizes.Size | str = sizes.text_lg,
+        radius_size: sizes.Size | str = sizes.radius_sm,
+        text_size: sizes.Size | str = sizes.text_md,
         font: fonts.Font
         | str
         | Iterable[fonts.Font | str] = (
-            fonts.GoogleFont("Quicksand"),
+            fonts.GoogleFont("Inter"),
             "ui-sans-serif",
             "sans-serif",
         ),
         font_mono: fonts.Font
         | str
         | Iterable[fonts.Font | str] = (
-            fonts.GoogleFont("IBM Plex Mono"),
+            fonts.GoogleFont("Fira Code"),
             "ui-monospace",
             "monospace",
         ),
@@ -63,22 +63,22 @@ class Seafoam(Base):
             font_mono=font_mono,
         )
         super().set(
-            body_background_fill="repeating-linear-gradient(45deg, *primary_200, *primary_200 10px, *primary_50 10px, *primary_50 20px)",
-            body_background_fill_dark="repeating-linear-gradient(45deg, *primary_800, *primary_800 10px, *primary_900 10px, *primary_900 20px)",
-            button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
-            button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
+            body_background_fill="*neutral_50",
+            body_background_fill_dark="*neutral_900",
+            button_primary_background_fill="*primary_500",
+            button_primary_background_fill_hover="*primary_400",
             button_primary_text_color="white",
-            button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
-            slider_color="*secondary_300",
-            slider_color_dark="*secondary_600",
-            block_title_text_weight="600",
-            block_border_width="3px",
-            block_shadow="*shadow_drop_lg",
-            button_primary_shadow="*shadow_drop_lg",
-            button_large_padding="32px",
+            button_primary_background_fill_dark="*primary_700",
+            slider_color="*secondary_400",
+            slider_color_dark="*secondary_500",
+            block_title_text_weight="500",
+            block_border_width="1px",
+            block_shadow="none",
+            button_primary_shadow="none",
+            button_large_padding="16px",
         )
 
-seafoam = Seafoam()
+minimalist = Minimalist()
 
 # Main classification function for multi-model classification.
 def classify(image, model_name):
@@ -170,7 +170,7 @@ def infer(image, candidate_labels):
     return postprocess_siglip(sg1_probs, sg2_probs, labels=candidate_labels)
 
 # Build the Gradio Interface with two tabs.
-with gr.Blocks(theme=seafoam) as demo:
+with gr.Blocks(theme=minimalist) as demo:
     gr.Markdown("# Multi-Domain & Zero-Shot Image Classification")
     
     with gr.Tabs():