# COPAINT
TLDR: From generated Image -> Copaint PDF
<!-- insert image data/demo.png -->
[![demo](data/demo.jpg)](data/demo.jpg)


## Usage and Install
```
# Install dependencies
pip install torch torchvision reportlab PyPDF2 Pillow argparse  gradio_pdf

# Run
python copaint.py --input_image data/bear.jpg --copaint_logo data/logo_copaint.jpg --outputfolder output

# Using the CLI
pip install --upgrade pip
pip install -e .

# Case 1 : generate all the presets
copaint --input_image data/bear.jpg --copaint_logo data/logo_copaint.jpg --outputfolder output --use_presets True

# Case 2 : provide a number of participants, the program will generate the best grid
copaint --input_image data/bear.jpg --copaint_logo data/logo_copaint.jpg --outputfolder output --nparticipants 45 

# Case 3 : provide the number of cells in the grid
copaint --input_image data/bear.jpg --copaint_logo data/logo_copaint.jpg --outputfolder output --h_cells 3 --w_cells 4
```

## Build and deploy
```
# Build
poetry build
# Deploy
poetry publish
```