DSU-W2025-FlowFusion-Automated-Song-Transitions

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DSU-W2025-FlowFusion-Automated-Song-Transitions

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# FlowFusion AI-DJ: Automated Song Transitions Using AI Models
*Seamless Music Mixing Through Machine Learning*

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/release/python-3100/)
[![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=flat&logo=PyTorch&logoColor=white)](https://pytorch.org/)

## 🎯 Features
- **AI-Driven Transitions**: Blend songs using Large Language Models (LLMs) and State-Space Models (SSMs)
- **Tokenization Engine**: Convert audio to structured representations for AI processing
- **Dual Architecture Pipeline**: Compare Transformer-based vs. Mamba-based approaches
- **Tempo-Aware Mixing**: Automatically align beats and musical phrasing

![Transition Workflow](https://raw.githubusercontent.com/the-data-science-union/DSU-W2025-FlowFusion-Automated-Song-Transitions/main/path/to/your/workflow/diagram.png)

## 🎵 Model Architecture
graph LR
A[Input Song A] --> B(Tokenizer)
A2[Input Song B] --> B
B --> C[[Transition Model]]
C --> D[Output Transition]
D --> E(Mixed Audio File)

## 🛠️ Getting Started

### Prerequisites
conda create -n ai-dj python=3.10
conda activate ai-dj
pip install -r requirements.txt

### Quick Start
from flowfusion import AI_DJ
dj = AI_DJ(model_type='ssm')
transition = dj.create_transition("song1.wav", "song2.wav")
transition.export("mix.mp3")

## 🗂️ Dataset
We use [MedleyDB](https://medleydb.weebly.com/) for training, containing:
- 1228 multi-track recordings
- 10+ musical genres
- Professional-grade mixes

## 🤝 Contributing
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit changes (`git commit -m 'Add some amazing feature'`)
4. Push to branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

See our [Contribution Guidelines](CONTRIBUTING.md) for details.

## 📜 License
Distributed under the MIT License. See `LICENSE` for more information.

## 📧 Contact
Aditya Murthy - [LinkedIn](https://linkedin.com/in/...) - ai-dj@flowfusion.com

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