To start working on this project, follow these steps:
- Clone the repository:
git clone git@github.com:Aaramis/Protein_Classifier.git
- Create a virtual environment:
python -m venv .venv
- Activate the virtual environment:
source .venv/bin/activate
(Linux/Mac) or.venv\Scripts\activate
(Windows) - Install dependencies:
pip install -r requirements.txt
python main.py --help
python main.py --file_path ./books/pdf --file_name medium_sentence_to_paragraph.pdf --output_path ./output --save_plots
If you want to run it in your notebook simply add a "!" at the beginning.
pip install wheel
python setup.py bdist_wheel
pip install ./dist/prg-0.1-py3-none-any.whl
After than you can simply call the package as follow:
from prg.text_2_paragraphes import create_paragraphes
create_paragraphes("./../books/pdf", 'medium_sentence_to_paragraph.pdf', './output', 'embedding', False)
poetry init
poetry env info -p
poetry shell
source [path_shell_to_en]
poetry add [package]
poetry remove [package]
poetry config repository_name-pypi htttps://test.pypi.org/legacy
poetry config pypi-token.test-pypi pypi-[token]
poetry build
poetry publish -r [poetry_repo]
from google.colab import drive
drive.mount('/content/drive')
!mkidr /root/.ssh
!cp /content/drive/MyDrive/deploy_keys/* /root/.ssh/
!ssh-keyscan github.com >> /root/.ssh/known_hosts
! pip uninstall -y prg
! pip install git+ssh://git@github.com/Aaramis/paragraphe_ranker.git
from prg.text_2_paragraphes import create_paragraphes