WALLO - Writing Assistant leveraging Large Language mOdels
Project description
WALLO - Writing Assistant leveraging Large Language mOdels
Often you have to write a text and forget all the helpful prompts that you used in the past. This tool helps to reduce the copy-paste from your local prompt-library and into the LLM-tools.
This program has been heavily written by Claude; at a certain point I let it just change the code.
Installation and usage
Using pypi
python -m venv .venv
. .venv/bin/activate
pip install wallo
Github
git clone git@github.com:SteffenBrinckmann/wallo.git
cd wallo/
python -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt
Usage
Usage:
. .venv/bin/activate
python -m wallo.main
Configuration
Prompts and services are saved in .wallo.json file in your home folder.
Development
Things I might/might not add
- Word wrap does not work with long copy-paste content
- pyInstaller to easily install on windows
Upload to pypi
How to upload to pypi
- Update version number in pyproject.toml
- Execute commands
mypy wallo/ pylint wallo/ python3 -m build python3 -m twine upload dist/*
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The following attestation bundles were made for wallo-0.2.0-py3-none-any.whl:
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pypi.yml on SteffenBrinckmann/wallo
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Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/SteffenBrinckmann
-
Access:
public
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Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
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pypi.yml@70197968b4d1c5fee56f9264c952d9394880e5e1 -
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push
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