Update app.py

app.py

@@ -1,32 +1,37 @@
+import gradio as gr
+from PIL import Image, ImageEnhance, ImageOps, ImageColor
+import numpy as np
+import cv2
 import re
 
+# Helper function to safely parse color
 def parse_color(color):
-    if isinstance(color, str) and color.startswith("rgba"):
-        # Parse rgba string
-        match = re.match(r"rgba\(([\d.]+), *([\d.]+), *([\d.]+), *[\d.]+\)", color)
-        if match:
-            r, g, b = match.groups()
-            return (int(float(r)), int(float(g)), int(float(b)))
-    elif isinstance(color, str) and color.startswith("#"):
-        return color  # Hex color
-    return "white"  # Fallback
+    if isinstance(color, str):
+        if color.startswith("rgba"):
+            match = re.match(r"rgba\(([\d.]+), *([\d.]+), *([\d.]+), *[\d.]+\)", color)
+            if match:
+                r, g, b = match.groups()
+                return (int(float(r)), int(float(g)), int(float(b)))
+        elif color.startswith("#"):
+            return color  # valid hex
+    return "white"  # fallback
 
+# Main image beautification function
 def beautify_image(image, tint_color, contrast, brightness, saturation, apply_filter):
     img = image.convert("RGB")
 
-    # Handle rgba or hex color from color picker
+    # Apply tint color if provided
     tint = parse_color(tint_color)
-
     if tint != "None":
         r, g, b = Image.new("RGB", img.size, tint).split()
         img = Image.blend(img, Image.merge("RGB", (r, g, b)), alpha=0.3)
 
-    # Enhance image properties
+    # Enhance image attributes
     img = ImageEnhance.Contrast(img).enhance(contrast)
     img = ImageEnhance.Brightness(img).enhance(brightness)
     img = ImageEnhance.Color(img).enhance(saturation)
 
-    # Apply filters
+    # Optional color filters
     if apply_filter != "None":
         img_cv = np.array(img)
         if apply_filter == "Sepia":
@@ -36,9 +41,31 @@ def beautify_image(image, tint_color, contrast, brightness, saturation, apply_fi
             img_cv = cv2.transform(img_cv, kernel)
             img_cv = np.clip(img_cv, 0, 255)
         else:
-            cmap = getattr(cv2, f'COLORMAP_{apply_filter.upper()}')
-            img_cv = cv2.applyColorMap(cv2.cvtColor(img_cv, cv2.COLOR_RGB2GRAY), cmap)
-            img_cv = cv2.cvtColor(img_cv, cv2.COLOR_BGR2RGB)
-        img = Image.fromarray(img_cv)
+            try:
+                cmap = getattr(cv2, f'COLORMAP_{apply_filter.upper()}')
+                img_cv = cv2.applyColorMap(cv2.cvtColor(img_cv, cv2.COLOR_RGB2GRAY), cmap)
+                img_cv = cv2.cvtColor(img_cv, cv2.COLOR_BGR2RGB)
+            except AttributeError:
+                pass  # invalid colormap, skip
+        img = Image.fromarray(img_cv.astype(np.uint8))
 
     return img
+
+# Gradio UI
+demo = gr.Interface(
+    fn=beautify_image,
+    inputs=[
+        gr.Image(type="pil", label="Upload Black & White Verse Image"),
+        gr.ColorPicker(label="Tint Color", value="#FFD700"),
+        gr.Slider(0.5, 2.0, 1.2, label="Contrast"),
+        gr.Slider(0.5, 2.0, 1.1, label="Brightness"),
+        gr.Slider(0.0, 2.0, 1.0, label="Saturation"),
+        gr.Dropdown(["None", "Sepia", "JET", "OCEAN", "PINK", "AUTUMN"], label="Optional Filter"),
+    ],
+    outputs=gr.Image(label="Beautified Image"),
+    title="🖌️ VerseGlow — Beautify Your B&W Verse Screenshots",
+    description="Upload black-and-white verse screenshots and make them visually beautiful with tint, contrast, and filters.",
+)
+
+if __name__ == "__main__":
+    demo.launch()