Update README.md

README.md

@@ -1,146 +1,13 @@
 ---
-title: FacePoke
-emoji: 🙂‍↔️👈
+title: ShutUp
+emoji: 🫢
 colorFrom: yellow
 colorTo: red
-sdk: docker
+sdk: gradio
 pinned: true
 license: mit
 header: mini
-app_file: app.py
-app_port: 8080
+app_file: gradio.py
 disable_embedding: true
-short_description: Import a portrait, click to move the head!
+short_description: Dont Scream 🫢!
 ---
-
-# FacePoke
-
-## Table of Contents
-
-- [Introduction](#introduction)
-- [Acknowledgements](#acknowledgements)
-- [Installation](#installation)
-  - [Local Setup](#local-setup)
-  - [Docker Deployment](#docker-deployment)
-- [Development](#development)
-- [Contributing](#contributing)
-- [License](#license)
-
-## Introduction
-
-A real-time head transformation app.
-
-For best performance please run the app from your own machine (local or in the cloud).
-
-**Repository**: [GitHub - jbilcke-hf/FacePoke](https://github.com/jbilcke-hf/FacePoke)
-
-You can try the demo but it is a shared space, latency may be high if there are multiple users or if you live far from the datacenter hosting the Hugging Face Space.
-
-**Live Demo**: [FacePoke on Hugging Face Spaces](https://huggingface.co/spaces/jbilcke-hf/FacePoke)
-
-## Acknowledgements
-
-This project is based on LivePortrait: https://arxiv.org/abs/2407.03168
-
-It uses the face transformation routines from https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait
-
-## Installation
-
-### Before you install
-
-FacePoke has only been tested in a Linux environment, using `Python 3.10` and `CUDA 12.4` (so a NVIDIA GPU).
-
-Contributions are welcome to help supporting other platforms!
-
-### Local Setup
-
-1. Make sure you have Git and Git LFS installed globally (https://git-lfs.com):
-
-   ```bash
-   git lfs install
-   ```
-
-2. Clone the repository:
-   ```bash
-   git clone https://github.com/jbilcke-hf/FacePoke.git
-   cd FacePoke
-   ```
-
-3. Install Python dependencies:
-
-   Using a virtual environment (Python venv) is strongly recommended.
-
-   FacePoke has been tested with `Python 3.10`.
-
-   ```bash
-   pip3 install --upgrade -r requirements.txt
-   ```
-
-4. Install frontend dependencies:
-   ```bash
-   cd client
-   bun install
-   ```
-
-5. Build the frontend:
-   ```bash
-   bun build ./src/index.tsx --outdir ../public/
-   ```
-
-6. Start the backend server:
-   ```bash
-   python app.py
-   ```
-
-7. Open `http://localhost:8080` in your web browser.
-
-### Docker Deployment
-
-1. Build the Docker image:
-   ```bash
-   docker build -t facepoke .
-   ```
-
-2. Run the container:
-   ```bash
-   docker run -p 8080:8080 facepoke
-   ```
-
-3. To deploy to Hugging Face Spaces:
-   - Fork the repository on GitHub.
-   - Create a new Space on Hugging Face.
-   - Connect your GitHub repository to the Space.
-   - Configure the Space to use the Docker runtime.
-
-## Development
-
-The project structure is organized as follows:
-
-- `app.py`: Main backend server handling WebSocket connections.
-- `engine.py`: Core logic.
-- `loader.py`: Initializes and loads AI models.
-- `client/`: Frontend React application.
-  - `src/`: TypeScript source files.
-  - `public/`: Static assets and built files.
-
-### Increasing the framerate
-
-I am testing various things to increase the framerate.
-
-One project is to only transmit the modified head, instead of the whole image.
-
-Another one is to automatically adapt to the server and network speed.
-
-## Contributing
-
-Contributions to FacePoke are welcome! Please read our [Contributing Guidelines](CONTRIBUTING.md) for details on how to submit pull requests, report issues, or request features.
-
-## License
-
-FacePoke is released under the MIT License. See the [LICENSE](LICENSE) file for details.
-
-Please note that while the code of LivePortrait and Insightface are open-source with "no limitation for both academic and commercial usage", the model weights trained from Insightface data are available for [non-commercial research purposes only](https://github.com/deepinsight/insightface?tab=readme-ov-file#license).
-
----
-
-Developed with ❤️ by Julian Bilcke at Hugging Face