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CodeAlpha_AI_Music

An AI-powered music generation system capable of composing original music using advanced deep learning techniques. This project utilizes Recurrent Neural Networks (RNNs) to analyze MIDI files and generate new compositions.

Table of Contents

Features

  • MIDI Processing: Load and process MIDI files to extract musical notes.
  • RNN Training: Train a Recurrent Neural Network on the processed notes to generate new music.
  • Music Generation: Generate original music compositions in MIDI format.

Getting Started

To get started with this project, follow the instructions below:

Cloning the Project

To clone this repository, use the following command:

git clone https://github.com/Csasaka19/CodeAlpha_AI_Music.git

cd CodeAlpha_AI_Music

Installation Requirements

This project requires Python 3.x and several libraries. You can install the necessary libraries using pip. First, ensure you have pip installed, then run the following command:

pip install -r requirements.txt

Run the project in this manner(training the model might take sometime):

Run src/data_preprocessing.py to extract notes and prepare sequences. Run src/train_model.py to train the model and save it in model/. Run src/generate_music.py to generate new music, which will be saved in output/.

~ The JupyterNotebooks contains the documentation about them.

Project Structure

CodeAlpha_AI_Music/
│
├── data/
│   ├── midi_files/                  # Folder to store your raw MIDI files
│   ├── processed/                   # Folder to store pre-processed data
│
├── model/
│   ├── music_generator_model.h5     # Trained Keras model
│   └── checkpoints/                 # Directory to store model checkpoints (optional)
│
├── notebooks/
│   ├── data_preparation.ipynb       # Jupyter notebook to pre-process MIDI files
│   ├── model_training.ipynb         # Jupyter notebook for model training
│   └── music_generation.ipynb       # Jupyter notebook for generating new music
│
├── output/
│   └── generated_music.mid          # Output folder to save the generated music files
│
├── src/
│   ├── data_preprocessing.py        # Script to handle MIDI processing
│   ├── train_model.py               # Script for training the RNN model
│   └── generate_music.py            # Script to generate new music based on the trained model
│
├── README.md                        # Documentation on how to set up and run the project
├── requirements.txt                 # List of required Python libraries
└── .gitignore                       # Ignore unnecessary files

How to Contribute

Contributions are welcome! If you would like to contribute to this project, please follow these steps:

Fork the repository on GitHub. Create a new branch for your feature or bug fix:

git checkout -b feature/your-feature-name

Make your changes and commit them:

git commit -m "Add your message here"

Push to your branch:

git push origin feature/your-feature-name

Create a pull request to the main repository.

License

This project is licensed under the GNU Affero General Public License. See the LICENSE file for more information.