Metadata-Version: 2.1
Name: fftrack
Version: 0.2.0
Summary: FFTrack is a Python-based music recognition tool that allows users to identify songs from audio input.
Author: schuldt-ogre <nschuldt@ogre.run>
Description-Content-Type: text/markdown
Requires-Dist: aniso8601>=9.0.1
Requires-Dist: audioread>=3.0.1
Requires-Dist: blinker>=1.7.0
Requires-Dist: certifi>=2024.2.2
Requires-Dist: cffi>=1.16.0
Requires-Dist: charset-normalizer>=3.3.2
Requires-Dist: click>=8.1.7
Requires-Dist: contourpy>=1.2.1
Requires-Dist: cycler>=0.12.1
Requires-Dist: decorator>=5.1.1
Requires-Dist: exceptiongroup>=1.2.1
Requires-Dist: ffmpeg>=1.4
Requires-Dist: flask>=3.0.3
Requires-Dist: flask-cors>=4.0.0
Requires-Dist: flask-restful>=0.3.10
Requires-Dist: fonttools>=4.51.0
Requires-Dist: greenlet>=3.0.3
Requires-Dist: idna>=3.7
Requires-Dist: imageio>=2.34.1
Requires-Dist: imageio-ffmpeg>=0.4.9
Requires-Dist: importlib-metadata>=7.1.0
Requires-Dist: importlib-resources>=6.4.0
Requires-Dist: iniconfig>=2.0.0
Requires-Dist: itsdangerous>=2.2.0
Requires-Dist: jinja2>=3.1.3
Requires-Dist: joblib>=1.4.0
Requires-Dist: kiwisolver>=1.4.5
Requires-Dist: lazy-loader>=0.4
Requires-Dist: librosa>=0.10.1
Requires-Dist: llvmlite>=0.42.0
Requires-Dist: markdown-it-py>=3.0.0
Requires-Dist: markupsafe>=2.1.5
Requires-Dist: matplotlib>=3.8.4
Requires-Dist: mdurl>=0.1.2
Requires-Dist: msgpack>=1.0.8
Requires-Dist: numba>=0.59.1
Requires-Dist: numpy>=1.26.4
Requires-Dist: packaging>=24.0
Requires-Dist: pandas>=2.2.2
Requires-Dist: pillow>=10.3.0
Requires-Dist: platformdirs>=4.2.0
Requires-Dist: pluggy>=1.5.0
Requires-Dist: pooch>=1.8.1
Requires-Dist: proglog>=0.1.10
Requires-Dist: pyaudio>=0.2.14
Requires-Dist: pycparser>=2.22
Requires-Dist: pydub>=0.25.1
Requires-Dist: pygments>=2.17.2
Requires-Dist: pyparsing>=3.1.2
Requires-Dist: pytest>=8.1.1
Requires-Dist: python-dateutil>=2.9.0.post0
Requires-Dist: pytube>=15.0.0
Requires-Dist: pytz>=2024.1
Requires-Dist: requests>=2.31.0
Requires-Dist: rich>=13.7.1
Requires-Dist: scikit-learn>=1.4.2
Requires-Dist: scipy>=1.13.0
Requires-Dist: shellingham>=1.5.4
Requires-Dist: six>=1.16.0
Requires-Dist: soundfile>=0.12.1
Requires-Dist: soxr>=0.3.7
Requires-Dist: sqlalchemy>=2.0.29
Requires-Dist: threadpoolctl>=3.4.0
Requires-Dist: tomli>=2.0.1
Requires-Dist: tqdm>=4.66.2
Requires-Dist: typer>=0.12.3
Requires-Dist: typing-extensions>=4.11.0
Requires-Dist: tzdata>=2024.1
Requires-Dist: urllib3>=2.2.1
Requires-Dist: werkzeug>=3.0.2
Requires-Dist: youtube-dl>=2021.12.17
Requires-Dist: zipp>=3.18.1
Provides-Extra: dev
Requires-Dist: coverage>=7.4.1; extra == "dev"

# FFTrack

## Description
FFTrack is a Python-based music recognition tool that allows users to identify songs from audio input. It uses Fast Fourier Transform (FFT) for audio processing.

## Features
- Audio processing with Fast Fourier Transform (FFT)
- Command line interface for easy usage
- Song recognition from audio recording
- Song recognition from audio files
- Simple database for storing song information

## Installation
To install FFTrack, follow these steps:
1. Clone the repository to your local machine:
2. Install the package using the following command:
```
pip install fftrack
```

3. Verify the installation by running the following command:
```
fftrack --help
```

## Usage
### Database Setup
To create the database, run the following command in your terminal:
```
populate-database
```


To record audio and identify the song, run the following command in your terminal:
```
fftrack listen
```

To identify the song from an audio file, run the following command in your terminal:
```
fftrack identify <path_to_audio_file>
```


## Configuration
To configure FFTrack, run the following command in your terminal (not available yet):
```
fftrack config
```



[//]: # (## Contributing)

[//]: # (If you want to contribute to this project, please follow these steps:)


## License

[//]: # (This project is licensed under the [MIT License]&#40;LICENSE&#41;.)

## Contact
