إضافة ملفات جديدة

README.md

@@ -0,0 +1,53 @@
+---
+title: BRIA RMBG 1.4
+emoji: 💻
+colorFrom: red
+colorTo: red
+sdk: docker
+pinned: false
+license: other
+---
+
+BRIA RMBG 1.4 - Dockerized Web App and API
+
+This is a Docker-based FastAPI service with a simple HTML frontend and a programmatic API for background removal.
+
+Features
+- FastAPI backend serving:
+  - POST /api/remove_bg (returns PNG bytes or JSON base64)
+  - POST /api/matte (alpha matte)
+  - GET /health
+- Static HTML/CSS/JS UI under /static
+- Dockerfile for containerized deployment
+
+Local development
+- Install deps (recommended inside a venv):
+  pip install -r requirements.txt fastapi uvicorn[standard]
+- Run
+  uvicorn server:app --host 0.0.0.0 --port 7860
+- Open http://localhost:7860
+
+Docker
+- Build
+  docker build -t bria-rmbg:latest .
+- Run
+  docker run --rm -p 7860:7860 bria-rmbg:latest
+
+API examples
+- cURL (PNG bytes)
+  curl -X POST "http://localhost:7860/api/remove_bg?output=image" -F "file=@./input.jpg" --output result.png
+- cURL (JSON base64)
+  curl -X POST "http://localhost:7860/api/remove_bg?output=json" -F "file=@./input.jpg" | jq -r .image_base64 | base64 --decode > result.png
+- Python
+  import requests
+  with open("./input.jpg", "rb") as f:
+      r = requests.post(
+          "http://localhost:7860/api/remove_bg?output=image",
+          files={"file": ("image.jpg", f, "image/jpeg")},
+      )
+  open("result.png", "wb").write(r.content)
+
+Notes
+- On first run the model weights (briaai/RMBG-1.4) are downloaded from Hugging Face Hub.
+- For GPU support, use a CUDA-enabled base image and ensure PyTorch CUDA is installed.
+