🎨 Mood Palet

This application allows the user to automatically generate a palette of five colors from an input picture. It then allows users to save and manage their palettes, as well as share them publicly on the web.

Features

• Upon application startup at the root path (./), the database is initialized using the schema.sql script.

• User accounts can be created and accessed using existing credentials.

• Publicly accessible palets collection page for users.

• Each palette has a unique, shareable 8-character URL.

• Logged-in users can delete self-created palets through a "Delete palet" button on the palet page.

• A static navigation bar provides options for user logout and returning to the personal page.

Online alpha version:

• login/signup: moodpalet.pxly.fr

• public user palets: moodpalet.pxly.fr/palets/rené

Python 3 | Flask

Setup Python environment:

# Create virtual environment:
python3 -m venv .venv

# Activate Python (Mac/Linux):
.venv/bin/activate
# (Windows PowerShell):
.venv/Scripts/activate

# Install dependencies:
pip install -r requirements.txt

Launch app for dev:

# Launch (--debug for quick refresh):
flask --app main run --debug

Launch app with Docker:

This version is containerized with Docker using SSL certificates from the deployment server, which must be linked in the Dockerfile.

# build
docker build -t mood-palet .

# launch
docker run -d --restart always -p 2000:8000 -v $(pwd):/app/ mood-palet 

Features roadmap (todo):

• Outsources the Docker container database to ensure the persistence of data

• Better generation of unique links for creating palette URLs

• OAuth2 social sign-in

• DB sqlite to MariaDB

• Home page with palettes created by all users

• Navbar for visitors to all pages with access to the home page

• Crop picture feature / Removal of the generate button

• Click on the palettes to access their page, instead of the link button

• Share button on palette pages

• Copy hexadecimal code on click

• UI Dark mode