Note this is automatically installed when you do pip install turbo-text-transformer
. This repo is just for storing the templates.
Designed for use with turbo-text-transformer.
You pipe some text in, the template is applied, then you pipe it into ttt
(from pip install turbo-text-transformer
) which will process it with eg. OpenAI.
cat pyproject.toml tttp/__main__.py | tttp -t readme | ttt > README.md
Turbo Text Transformer Prompts is a command-line tool that allows users to generate text files from pre-configured templates using user input prompts. The tool uses Jinja2 templating engine to render text files from templates.
pip install turbo-text-transformer-prompts
You will also need to clone the repository containing the templates you want to use. For example:
mkdir -p ~/.config/ttt/
git clone https://github.com/fergusfettes/turbo-text-transformer-prompts ~/.config/ttt
A template is a text file written in Jinja2 syntax. The file should have the .j2
extension and be placed inside the templates
directory. They will be installed in the ~/.config/ttt/templates
directory.
This is a smiple example of a template:
Context: Provide only code as output.
Prompt: {{prompt}}
Code:
It will just output a code snippet based on the query.
You can also pass a list of flags to the prompt to fine tune the control, such as this:
This is an example of minimally altering some given code to achieve a specific task.
I received the following code:
`{{language}}
{{prompt}}
`
My task was to make minimal alterations to this code to: "{{task}}".
The altered code is below.
`{{language}}
For this one, you can pass the 'task' and 'language' arguments to make it more specific.
PULL REQUESTS WITH MORE TEMPLATES VERY WELCOME!
If you find a bug or would like to contribute to Turbo Text Transformer Prompts, please create a new GitHub issue or pull request.
Turbo Text Transformer Prompts is licensed under the MIT License. See the LICENSE file for details.