AIMGNN

AIMGNN is a full-stack AI-powered music generation platform built with a vanilla JavaScript frontend and a Python FastAPI backend leveraging Meta's MusicGen model. Users can generate high-quality music by entering text prompts or uploading melody seeds, preview results in-browser, and download compositions.

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Table of Contents

• Features
• Repository Structure
• Prerequisites
• Installation & Setup
• Usage
  • Generating Music via Frontend
  • User Workflow
• API Endpoints
• Samples
• Citations
• Acknowledgments
• Contributors
• Made By

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Features

• 🎵 Text-to-Music Generation – Generate music from text prompts using advanced AI algorithms.
• 🎛️ Customizable Music – Edit and fine-tune generated music with prompt-based customization.
• 💾 Download & Share – Download your music in high-quality formats and share it with the world.
• ⚙️ Advanced Controls – Fine-tune tempo, pitch, and other parameters.

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Repository Structure

AIMGNN/
├── css/                   # Stylesheets
├── gifs/                  # Animated assets
├── images/                # Static images
├── js/                    # JavaScript modules
├── music/                 # Audio output files
├── musicgen/              # Python backend with MusicGen
├── *.html                 # Frontend HTML pages
├── README.md              # This file
├── requirements.txt       # Backend dependencies
└── account.html, dashboard.html, ...

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Prerequisites

• Python 3.8+
• Git
• A modern browser (Chrome, Firefox, etc.)

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Installation & Setup

# Clone repository
git clone https://github.com/OmarAsh-Dev/AIMGNN.git
cd AIMGNN

# Setup virtual environment
python3 -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows

# Install dependencies
pip install -r requirements.txt
pip install transformers audiocraft

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Run the App

Start server_g.py using uvicorn 
better run it on a platform like Lightning Ai and use Api builder for hosting it

# Serve frontend
python -m http.server 3000
# Open http://localhost:3000/index.html in your browser

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Usage

Generating Music via Frontend

1. Open generate.html.
2. Enter a text prompt.
3. Optionally upload a melody seed (.wav or .mp3).
4. Click Generate.
5. Preview or download the result.

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User Workflow

1. 💡 Generate music with text or melody input.
2. 🧪 Customize tempo, pitch, and duration.
3. 💾 Download and 🎧 share your creation.

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API Endpoints

• POST /predict

  • prompt (string)
  • duration (int, seconds)

• POST /interpolation

  • prompt (string)
  • melody (file: .wav/.midi)
  • duration (int, seconds)

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Samples

🎧 Example compositions generated using AIMGNN:

• ▶️ Sample 1
• ▶️ Sample 2
• ▶️ Sample 3

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Citations

Please cite Meta's original research:

@inproceedings{copet2023musicgen,
  title = {Simple and Controllable Music Generation},
  author = {Copet, Jade and Kreuk, Felix and Gat, Itai and Remez, Tal and Kant, David and Synnaeve, Gabriel and Adi, Yossi and Défossez, Alexandre},
  booktitle = {Proc. of the 40th International Conference on Machine Learning},
  year = {2023},
  note = {arXiv:2306.05284}
}

@misc{defossez2022encodec,
  title={EnCodec: Efficient Neural Audio Compression},
  author={Défossez, Alexandre and Zeghidour, Neil and Usunier, Nicolas and Bottou, Léon and Synnaeve, Gabriel},
  year={2022},
  eprint={2211.02231},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

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Acknowledgments

• MusicGen by Meta AI
• Meta for open-sourcing cutting-edge research
• Early testers and community contributors

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Contributors

Want to contribute? Open a PR or issue!

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Made By

GitHub Username	Full Name
@OmarAsh-Dev	Omar Ahmed Shawqi
@Ahmed47Sameh	Ahmed Sameh Saad
@MOHAMEDRAGEB2020	Mohamed Ali Ragab
@Abo4samra	Ahmed Samir Mahmod
@pro-mohamed	Mohamed Abd El-mohsen
@ahmedhunter25	Ahmed Kamal
@MohamedAttya74	Mohamed Attya