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import io
import numpy as np
import streamlit as st
from PIL import Image, ImageFilter, ImageOps
st.set_page_config(page_title="Image → Sketch (Lite)", page_icon="🎨", layout="centered")
st.title("Image → Sketch (Lite) 🎨")
st.caption("PIL + NumPy ile basit kurşun kalem efekti (Gaussian blur + color dodge).")
file = st.file_uploader("Bir görsel yükle (jpg, png, jpeg)", type=["jpg", "png", "jpeg"])
radius = st.slider("Bulanıklık yarıçapı (Gaussian)", 1, 25, 8)
def color_dodge(gray_img: Image.Image, blur_img: Image.Image) -> Image.Image:
"""PIL (L) iki resmi color-dodge ile birleştirir (NumPy ile)."""
g = np.asarray(gray_img).astype(np.float32)
b = np.asarray(blur_img).astype(np.float32)
# 255 - b yaklaştıkça bölme büyür; sıfıra bölmeyi engellemek için epsilon
eps = 1e-3
out = np.clip(g * 255.0 / (255.0 - b + eps), 0, 255).astype(np.uint8)
return Image.fromarray(out, mode="L")
if file:
img = Image.open(file).convert("RGB")
gray = img.convert("L")
inverted = ImageOps.invert(gray)
blurred = inverted.filter(ImageFilter.GaussianBlur(radius=radius))
sketch = color_dodge(gray, blurred)
col1, col2 = st.columns(2)
with col1:
st.image(img, caption="Orijinal", use_container_width=True)
with col2:
st.image(sketch, caption=f"Sketch (radius={radius})", use_container_width=True, clamp=True)
# İndir
buf = io.BytesIO()
sketch.save(buf, format="PNG")
st.download_button("PNG olarak indir", data=buf.getvalue(), file_name="sketch.png", mime="image/png")
else:
st.info("Devam etmek için bir görsel yükle.")
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