Update README to huggingface metadata

README.md

@@ -1,78 +1,11 @@
-# sam2-playground
-Gradio based Playground Web UI using [facebook/segment-anything-2](https://github.com/facebookresearch/segment-anything-2) models.
-
-### Online Demos
-<div>
-    <a href="https://colab.research.google.com/github/jhj0517/sam2-playground/blob/master/notebooks/sam2_playground.ipynb">
-        <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Colab" style="display:inline-block;">
-    </a>
-</div>
-
-## Feature
-- Add filters to segment parts of a video with pixelated or solid color
-
-<table>
-  <tr>
-    <td align="center"><strong>Pixelize the girl's face</strong></td>
-  </tr>
-  <tr>
-    <td>
-      <video controls autoplay loop src="https://github.com/user-attachments/assets/c5758970-dc15-4bc8-a918-8d3e8e44a73a" muted="false"></video>
-    </td>
-  </tr>
-</table>
-
-
-- Divide segmentation parts into layers and save them as PSD files.
-
-<table>
-  <tr>
-    <td align="center"><strong>Divide clothes into layers and save as PSD file</strong></td>
-  </tr>
-  <tr>
-    <td style="text-align: center;">
-        <img src="https://github.com/jhj0517/sam2-playground/blob/master/docs/example_psd_file.png" alt="Example_PSD">
-    </td>
-  </tr>
-</table>
-
-See [PROMPT_GUIDE.md](https://github.com/jhj0517/sam2-playground/blob/master/docs/PROMPT_GUIDE.md) to see how to prompt the segmentation parts of the image.
-
-# Installation and Running
-### Prerequisites
-To run this Web UI, you need these prerequisites. If you don't have them, please install them in the following links :
-
-- `git` : https://git-scm.com/downloads
-- `python=>3.10` : https://www.python.org/downloads/ 
-- `FFmpeg` : https://ffmpeg.org/download.html
- 
-After installing FFmpeg, **make sure to add the `FFmpeg/bin` folder to your system PATH!** <br>
-And for CUDA, if you're not using an Nvidia GPU and CUDA 12.4, edit the [requirements.txt](https://github.com/jhj0517/sam2-playground/blob/master/requirements.txt) to match your environment.
-
-### Option 1 : Running with Shell / Batch Scripts
-There's a set of shell / batch scripts for installation and running. 
-
-1. Download `sam2-playground.zip` with the file corresponding to your OS from [sam2-playground-portable.zip]() and extract its contents. 
-2. Run `install.bat` or `install.sh` to install dependencies. (This will create a `venv` directory and install dependencies there.)
-3. Start WebUI with `start-webui.bat` or `start-webui.sh` 
-4. To update, run `update.bat` or `update.sh` 
-
-### Option 2: Docker
-1. Clone the repository
-```
-git clone https://github.com/jhj0517/sam2-playground.git
-```
-3. Build the image ( Image is about ~6 GB )
-```
-docker compose build
-```
-3. Run the container
-```
-docker compose up
-```
-4. Connect to `localhost:7860` with your browser.
-
-If needed, update [`docker-compose.yaml`](https://github.com/jhj0517/sam2-playground/blob/master/docker-compose.yaml) to match your environments.
-
-## Todo 🗓
-- [ ] Support `change()` API for `gradio_image_prompter` and automatically generate preview for video predictor
+---
+title: sam2-playground
+emoji: 🚀
+colorFrom: red
+colorTo: red
+sdk: gradio
+sdk_version: 4.41.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+---