Update readme.md

README.md

@@ -14,3 +14,54 @@ tags:
   - SAM2
   - MatAnyOne
 ---
+
+# 🎬 BackgroundFX Pro — Professional Video Background Replacement
+
+**BackgroundFX Pro** is an advanced video background replacement app built for **Hugging Face Spaces (GPU)**.  
+It combines cutting-edge AI segmentation and matting models with a simple Gradio UI:
+
+- **[SAM2](https://huggingface.co/facebook/sam2)** → high-quality object segmentation (first frame or image prompts).  
+- **[MatAnyone](https://huggingface.co/PeiqingYang/MatAnyone)** → temporal video matting with consistent alpha masks.  
+- **Rembg fallback** → ensures every video can be processed, even if models fail.  
+
+👉 The result: **fast, stable, professional-grade background replacement** — ideal for content creators, streamers, and marketing.
+
+---
+
+## ✨ Features
+
+- 🎥 Upload any video and replace its background with:
+  - Solid colors
+  - AI-generated images
+  - Custom uploaded backgrounds
+- ⚡ GPU-optimized (Tesla T4 / CUDA 12.x)
+- 🧩 Model pre-warm for faster startup
+- 🛡️ Fallback pipeline so you *never lose frames*
+- 📂 Persistent caching in `/data/.cache` for Hugging Face Spaces
+
+---
+
+## 🚀 Try it on Hugging Face Spaces
+
+[**▶ Open BackgroundFX Pro on Hugging Face**](https://huggingface.co/spaces/MogensR/VideoBackgroundReplacer2)  
+
+No installation required — runs directly in your browser with GPU acceleration.
+
+---
+
+## 🛠️ Developer Notes
+
+### Local Development (with Docker)
+
+Clone the repo and build locally:
+
+```bash
+git clone https://huggingface.co/spaces/MogensR/VideoBackgroundReplacer2
+cd VideoBackgroundReplacer2
+
+# Build container (CUDA 12.3 base, Python 3.10, Torch 2.3.1+cu121)
+docker build -t backgroundfx-pro .
+
+# Run locally
+docker run --gpus all -p 7860:7860 backgroundfx-pro
+

readme.md

@@ -1,68 +0,0 @@
-# 🎬 BackgroundFX Pro — Professional Video Background Replacement
-
-**BackgroundFX Pro** is an advanced video background replacement app built for **Hugging Face Spaces (GPU)**.  
-It combines cutting-edge AI segmentation and matting models with a simple Gradio UI:
-
-- **[SAM2](https://huggingface.co/facebook/sam2)** → high-quality object segmentation (first frame or image prompts).  
-- **[MatAnyone](https://huggingface.co/PeiqingYang/MatAnyone)** → temporal video matting with consistent alpha masks.  
-- **Rembg fallback** → ensures every video can be processed, even if models fail.  
-
-👉 The result: **fast, stable, professional-grade background replacement** — ideal for content creators, streamers, and marketing.
-
----
-
-## ✨ Features
-
-- 🎥 Upload any video and replace its background with:
-  - Solid colors
-  - AI-generated images
-  - Custom uploaded backgrounds
-- ⚡ GPU-optimized (Tesla T4 / CUDA 12.x)
-- 🧩 Model pre-warm for faster startup
-- 🛡️ Fallback pipeline so you *never lose frames*
-- 📂 Persistent caching in `/data/.cache` for Hugging Face Spaces
-
----
-
-## 🚀 Try it on Hugging Face Spaces
-
-[**▶ Open BackgroundFX Pro on Hugging Face**](https://huggingface.co/spaces/your-username/BackgroundFX-Pro)  
-
-No installation required — runs directly in your browser with GPU acceleration.
-
----
-
-## 🛠️ Developer Notes
-
-### Local Development (with Docker)
-
-Clone the repo and build locally:
-
-```bash
-git clone https://huggingface.co/spaces/your-username/BackgroundFX-Pro
-cd BackgroundFX-Pro
-
-# Build container (CUDA 12.3 base, Python 3.10, Torch 2.3.1+cu121)
-docker build -t backgroundfx-pro .
-
-# Run locally
-docker run --gpus all -p 7860:7860 backgroundfx-pro
-
-app/                 # Main Gradio app (app.py + utils + models)
-third_party/         # External model repos (SAM2, MatAnyone)
-requirements.txt     # Python deps (beyond torch/cu121)
-Dockerfile           # Container build (for HF Spaces + local)
-.dockerignore        # Excludes junk/test files from image
-
-
----
-
-✨ This way:
-- HF visitors see **what it does** + a **button to try it**.
-- Devs get copy-paste **Docker build/run** instructions.
-- You highlight SAM2 + MatAnyone, but also note fallbacks and HF infra.  
-
----
-
-Do you want me to also **make a lightweight “banner image”** (e.g. 1200×400, LinkedIn-style) for the top of the README so the Space looks polished?
-