Chord Classification

A Full Stack Application for classifying Musical Chords using ML models. Follow these steps to set up the project on your local machine.

Getting Started

Prerequisites

Make sure you have the following installed on your system:

• Python 3.8 or higher
• Git
• Virtualenv (optional, for virtual environments)

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1. Fork and Clone the Repository

1. Fork this repository to your GitHub account.
2. Clone the repository to your local machine:

git clone https://github.com/<your-username>/ChordClassification.git

2. Navigate to the Project Directory

cd ChordClassification

3. Create and Activate a Virtual Environment

1. Create a virtual environment named venv:

   python -m venv venv

2. Activate the virtual environment:

   • For Windows:

       venv\Scripts\activate

   • For macOS/Linux:

       source venv/bin/activate

4. Install Dependencies

pip install -r requirements.txt

5. Run Application

uvicorn backend.app.main:app --reload

6. Access the Application

Once the server is running, you can access the application in your browser or API client:

• Base URL: http://127.0.0.1:8000

• Swagger UI: http://127.0.0.1:8000/docs