WALLO - Writing Assistance by Large Language mOdel
Project description
WALLO - Writing Assistant based on 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.
WARNING: This is a side project as I have more than enough things to maintain. If it does not work for you, fix it yourself and create a PR.
This program has been heavily written by Claude; at a certain point I let it just change the code.
Installation and usage
Installation:
git clone git@github.com:SteffenBrinckmann/wallo.git
cd wallo/
python -m venv .venv
pip install -r requirements.txt
Usage:
. .venv/bin/activate
python -m wallo.main
Configuration
Prompts and services are saved in .wallo.json file in your home folder.
Things I might/might not add
- Word wrap does not work with long copy-paste content
- pyInstaller to easily install on windows
- pip
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file wallo-0.1.0.tar.gz.
File metadata
- Download URL: wallo-0.1.0.tar.gz
- Upload date:
- Size: 15.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ff143db5254f883f8472ee4ea79a3f78d90ee52a5b087ffb7c2416476f656b00
|
|
| MD5 |
addf6f9635c5e530f1e4fbbc8a0cacb2
|
|
| BLAKE2b-256 |
e4a13e7d0bcb9d95994f8494373ada1987d0d8be0e0a0e1cdca24bfc90104f2a
|
File details
Details for the file wallo-0.1.0-py3-none-any.whl.
File metadata
- Download URL: wallo-0.1.0-py3-none-any.whl
- Upload date:
- Size: 18.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
39722c0bd38977894a56ff159d3835d6f76d7c655ce0773784d1a625bd4dc1aa
|
|
| MD5 |
6b26cc9cb17618f701cbd221f492b0fd
|
|
| BLAKE2b-256 |
d0b7f4c1be5b28d99e079b513726716f3f5272669cfed453a14fe755c58d3d80
|
