update readme

.idea/vcs.xml

@@ -2,6 +2,5 @@
 <project version="4">
   <component name="VcsDirectoryMappings">
     <mapping directory="$PROJECT_DIR$" vcs="Git" />
-    <mapping directory="$PROJECT_DIR$/Music_Splitter" vcs="Git" />
   </component>
 </project>

README.md

@@ -1,121 +1,10 @@
-# 🎵 Audio/Video Music Splitter
-
-A Streamlit-based web application that allows users to separate vocals from audio files and videos. This tool uses the Demucs model for high-quality audio source separation.
-
-![Screenshot 2025-01-10 150722](https://github.com/user-attachments/assets/5d74204f-0c54-44c3-acb9-e3eaa633ded7)
-
-
-## 🌟 Features
-
-- **Audio Processing**: Extract vocals from audio files (MP3, WAV, OGG)
-- **Video Processing**: Separate vocals from video files (MP4, MKV, AVI)
-- **Download Options**: 
-  - Download isolated vocals
-  - Download processed video with isolated vocals
-- **User-Friendly Interface**: Simple drag-and-drop file upload
-- **Multiple Format Support**: Works with various audio and video formats
-
-## 🚀 Getting Started
-
-### Prerequisites
-
-- Docker installed on your system
-- At least 4GB of available RAM
-- 2GB of free disk space
-
-### Quick Start with Docker
-
-1. Clone the repository:
-```bash
-git clone https://github.com/yourusername/Omar-YYoussef-Audio_Video_Music_Splitter.git
-cd Omar-YYoussef-Audio_Video_Music_Splitter
-```
-
-2. Build the Docker image:
-```bash
-docker build -t audio-video-splitter .
-```
-
-3. Run the container:
-```bash
-docker run -p 8501:8501 audio-video-splitter
-```
-
-4. Open your browser and navigate to:
-```
-http://localhost:8501
-```
-
-### Manual Installation
-
-1. Install system dependencies:
-```bash
-# Ubuntu/Debian
-sudo apt-get update && sudo apt-get install -y ffmpeg
-
-# MacOS
-brew install ffmpeg
-
-# Windows
-# Download and install ffmpeg from https://ffmpeg.org/download.html
-```
-
-2. Install Python dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-3. Run the application:
-```bash
-streamlit run main.py
-```
-
-## 💡 Usage
-
-### Processing Audio Files
-
-1. Select the "Audio Processing 🎧" tab
-2. Upload your audio file (MP3, WAV, or OGG format)
-3. Click "Process Audio"
-4. Download the separated vocals
-
-### Processing Video Files
-
-1. Select the "Video Processing 🎥" tab
-2. Upload your video file (MP4, MKV, or AVI format)
-3. Click "Process Video"
-4. Download either:
-   - The processed video with isolated vocals
-   - The separated vocals as an audio file
-
-![Screenshot 2025-01-10 150909](https://github.com/user-attachments/assets/755dc95c-bbeb-4356-a3af-2c2694cd5fd8)
-
-
-## 🔧 Technical Details
-
-The application uses several key technologies:
-
-- **Streamlit**: For the web interface
-- **Demucs**: For audio source separation
-- **FFmpeg**: For audio/video processing
-- **Python 3.9**: As the base programming language
-
-
-## 🤝 Contributing
-
-1. Fork the repository
-2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
-3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
-4. Push to the branch (`git push origin feature/AmazingFeature`)
-5. Open a Pull Request
-
-## 📝 License
-
-This project is licensed under the MIT License - see the LICENSE file for details.
-
-## 👏 Acknowledgments
-
-- [Demucs](https://github.com/facebookresearch/demucs) for the audio separation model
-- [Streamlit](https://streamlit.io/) for the web app framework
-- [FFmpeg](https://ffmpeg.org/) for media processing capabilities
-
+---
+title: "Vocal Separator"
+emoji: "🎵"
+colorFrom: "blue"
+colorTo: "purple"
+sdk: streamlit
+sdk_version: "1.20.0"  # Replace with the latest Streamlit version
+app_file: app.py
+pinned: false
+---