semvec/pypi-packages huggingface dataset:
artsapiclient-ds3478 0.1.0
API Client for the Art Institute of Chicago's API which provides JSON formatted data as a REST style service that allows developers to explore and integrate the museum's public data into their projects.
License: MIT
Requires Python: >=3.9,<4.0

# artsapiclient_ds3478

API Client for the Art Institute of Chicago's API which provides JSON formatted data as a REST style service that allows developers to explore and integrate the museum's public data into their projects.

## Installation

```bash
$ pip install artsapiclient_ds3478
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`artsapiclient_ds3478` was created by Donald Stephens. It is licensed under the terms of the MIT license.

## Credits

`artsapiclient_ds3478` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
paul-smiley-prediction 0.0.1
Smiley face predictior
License: MIT
Keywords: Smiley Face

This is a library which contains a pre-trained model to predict
hand-drawn smiley faces (Happy, Sad).

You can use this library with Streamlit for example,
to collect hand-drawn smiley faces and predict them.


Change Log
==========

0.0.1 (21/19/2021)
------------------
- First Release