QueryQuiver estimates your interests based on your past Google Chrome search history and suggests technical article ideas that you might be comfortable writing about.
pip install queryquiver
or If you want to install from source code, you can install it as follows.
pip install git+https://github.com/marutaku/QueryQuiver
Please close Google Chrome before using this tool.
The tool references the SQLite database used internally by Google Chrome.
While using GoogleChrome, this SQLite database will be locked and an error will occur.
queryquiver generate
queryquiver generate --help
NAME
queryquiver generate - Generate idea of tech articles from Google Chrome history
SYNOPSIS
queryquiver generate <flags>
DESCRIPTION
Generate idea of tech articles from Google Chrome history
FLAGS
-q, --query_history_limit=QUERY_HISTORY_LIMIT
Type: int
Default: 20
-n, --number_of_ideas=NUMBER_OF_IDEAS
Type: int
Default: 5
-c, --chrome_history_path=CHROME_HISTORY_PATH
Type: Optional[str | None]
Default: None
-o, --openai_api_key=OPENAI_API_KEY
Type: Optional[str | None]
Default: None
-d, --debug=DEBUG
Type: bool
Default: False
-l, --language=LANGUAGE
Type: str
Default: 'en'
-u, --use_gpt4=USE_GPT4
Type: bool
Default: False
make setup
make test
make lint
make format