Music Generator

A Python-based AI application that generates music using an LSTM-based RNN model trained on music data. This project provides an end-to-end solution to compose music and play it as audio, leveraging the power of deep learning and Gradio for an interactive user experience.

Features

• Music Generation: Uses a trained RNN model to generate music in ABC notation.
• Interactive Interface: Gradio-based interface for easy interaction.
• LSTM/GRU Support: Configurable choice of LSTM or GRU for music generation.
• Audio Conversion: Converts ABC notation into playable audio.

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Installation

Prerequisites

• Python 3.8 or later
• Required Python packages (install via requirements.txt):
  • torch
  • gradio
  • numpy
  • abc2midi

Steps

1. Clone this repository:

   git clone https://github.com/nullHawk/music-generation
   cd music-generation

2. Install dependencies:

   pip install -r requirements.txt

3. Place the trained model checkpoint at checkpoint/model.pth.

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Usage

Running the Application

Launch the Gradio interface:

python app.py

Interacting with the App

• Open the Gradio interface in your browser.
• Click the "Generate Music" button to compose a new song.
• Listen to the generated audio directly within the interface.

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Example Output

1. Click the Generate Music button.
2. The app generates an ABC-notation music sequence using the RNN model.
3. The ABC notation is converted to playable audio.
4. Listen to the generated music in the interface.

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