Update app.py

app.py

@@ -1,6 +1,8 @@
 import gradio as gr
 import torch
 import spaces
+from gradio.themes.base import Base
+from gradio.themes.utils import colors, fonts, sizes
 from transformers import AutoModel, AutoProcessor
 
 from gender_classification import gender_classification
@@ -19,6 +21,45 @@ from rice_leaf_disease import classify_leaf_disease
 from traffic_density import traffic_density_classification
 from clip_art import clipart_classification  # New import
 
+#Gradio-Theme
+class Seafoam(Base):
+    def __init__(
+        self,
+        *,
+        primary_hue: colors.Color | str = colors.emerald,
+        secondary_hue: colors.Color | str = colors.blue,
+        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,
+        font: fonts.Font
+        | str
+        | Iterable[fonts.Font | str] = (
+            fonts.GoogleFont("Quicksand"),
+            "ui-sans-serif",
+            "sans-serif",
+        ),
+        font_mono: fonts.Font
+        | str
+        | Iterable[fonts.Font | str] = (
+            fonts.GoogleFont("IBM Plex Mono"),
+            "ui-monospace",
+            "monospace",
+        ),
+    ):
+        super().__init__(
+            primary_hue=primary_hue,
+            secondary_hue=secondary_hue,
+            neutral_hue=neutral_hue,
+            spacing_size=spacing_size,
+            radius_size=radius_size,
+            text_size=text_size,
+            font=font,
+            font_mono=font_mono,
+        )
+
+seafoam = Seafoam()
+
 # Main classification function for multi-model classification.
 def classify(image, model_name):
     if model_name == "gender":
@@ -105,7 +146,7 @@ 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=gr.themes.Default(primary_hue=gr.themes.colors.red, secondary_hue=gr.themes.colors.pink)) as demo:
+with gr.Blocks(theme=seafoam) as demo:
     gr.Markdown("# Multi-Domain & Zero-Shot Image Classification")
     
     with gr.Tabs():