Sayori allows you to add more flair to your poems or proses and render them in Doki Doki Literature Club's style, using Python's PIL module to generate images for you to share!

Sayori can generate images with the following parameters:

• The text (can be uploaded as a plaintext file as well if you fancy that!)
• Background Type (Normal, or Yuri (Obsession Level from 2-3))
• The characters' writing styles (Monika (by default), Sayori, Natsuki, Yuri (and her obsessed variants))

Sayori is hosted on Streamlit!

However, if you want to integrate the project to your application, a hosted API is available as well! You can find it here. Documentation for the API version can be found here.

Sayori requires a modern Python installation to work. It is recommended to use Python 3.6 or above. As for the dependencies, don't worry about that! It's provided in the requirements.txt file, so you can just run:

    $ pip install -r requirements.txt

To run the web application, simply run

   $ streamlit run streamlit_main.py

Sayori takes advantage of the Virtual Environments feature in Python. To develop for Sayori, you must make a venv first:

   $ python -m venv $(pwd)/.venv

Then finally activate your virtual environment

   $ source $(pwd)/.venv/bin/activate

This ensures a consistent environment regardless of your development environment settings. After switching to the new virtual environment, simply follow the Installation instructions.

Copyright © 2023 Ayase Minori. All Rights Reserved. Licensed under the MIT License. See LICENSE for more information.

Assets used in this project are property of Team Salvato and are used for educational purposes only. No infringement intended.