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import streamlit as st
from loadimg import load_img
from transformers import AutoModelForImageSegmentation
import torch
from torchvision import transforms
from PIL import Image
import requests
from io import BytesIO
# إعداد الجهاز
torch.set_float32_matmul_precision("high")
birefnet = AutoModelForImageSegmentation.from_pretrained(
"ZhengPeng7/BiRefNet", trust_remote_code=True
)
birefnet.to("cuda")
transform_image = transforms.Compose(
[
transforms.Resize((1024, 1024)),
transforms.ToTensor(),
transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
]
)
# دالة المعالجة
def process(image):
image_size = image.size
input_images = transform_image(image).unsqueeze(0).to("cuda")
with torch.no_grad():
preds = birefnet(input_images)[-1].sigmoid().cpu()
pred = preds[0].squeeze()
pred_pil = transforms.ToPILImage()(pred)
mask = pred_pil.resize(image_size)
image.putalpha(mask)
return image
st.title("أداة إزالة الخلفية")
# واجهة المستخدم
tab = st.sidebar.selectbox("اختر طريقة الإدخال:", ["رفع صورة", "رابط صورة", "ملف"])
if tab == "رفع صورة":
uploaded_file = st.file_uploader("ارفع صورة:")
if uploaded_file is not None:
image = Image.open(uploaded_file).convert("RGB")
st.image(image, caption="الصورة الأصلية", use_column_width=True)
processed_image = process(image)
st.image(processed_image, caption="الصورة المعالجة", use_column_width=True)
elif tab == "رابط صورة":
url = st.text_input("أدخل رابط الصورة:")
if url:
try:
response = requests.get(url)
image = Image.open(BytesIO(response.content)).convert("RGB")
st.image(image, caption="الصورة الأصلية", use_column_width=True)
processed_image = process(image)
st.image(processed_image, caption="الصورة المعالجة", use_column_width=True)
except Exception as e:
st.error(f"خطأ أثناء تحميل الصورة: {e}")
elif tab == "ملف":
uploaded_file = st.file_uploader("ارفع ملف:")
if uploaded_file is not None:
image = Image.open(uploaded_file).convert("RGB")
processed_image = process(image)
output_path = uploaded_file.name.rsplit(".", 1)[0] + ".png"
processed_image.save(output_path)
st.image(processed_image, caption="الصورة المعالجة", use_column_width=True)
st.download_button("تحميل الصورة المعالجة", data=open(output_path, "rb"), file_name=output_path)
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