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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):
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")
# 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 attributes
img = ImageEnhance.Contrast(img).enhance(contrast)
img = ImageEnhance.Brightness(img).enhance(brightness)
img = ImageEnhance.Color(img).enhance(saturation)
# Optional color filters
if apply_filter != "None":
img_cv = np.array(img)
if apply_filter == "Sepia":
kernel = np.array([[0.272, 0.534, 0.131],
[0.349, 0.686, 0.168],
[0.393, 0.769, 0.189]])
img_cv = cv2.transform(img_cv, kernel)
img_cv = np.clip(img_cv, 0, 255)
else:
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()
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