prompt-markdown-parser
Python-Markdown
prompt-markdown-parser | Python-Markdown | |
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1 | 15 | |
22 | 3,601 | |
- | 1.4% | |
7.9 | 7.8 | |
4 months ago | 22 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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prompt-markdown-parser
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I have made a prompt tool
Hello everyone! I would like to introduce my prompt tool repository. This repository offers a range of features including prompt translation from various languages to English, the ability to write prompts in Markdown files and parse them, creating datasets from Civitai image links, and using the Civitai API for images with specified wanted and unwanted prompts for filtering. You can also train your text generator using prompt dataset, evaluate your model, and generate prompts using the trained model. I hope that this tool will help address some of your needs and provide assistance. I have provided instructions on how to use it in the repository, but please feel free to ask questions or offer suggestions! Happy prompting to everyone!
Python-Markdown
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Introducing AutoPyTabs: Automatically generate code examples for different Python versions in MkDocs or Sphinx based documentations
AutoPyTabs allows you to write code examples in your documentation targeting a single version of Python and then generates examples targeting higher Python versions on the fly, presenting them in tabs, using popular tabs extensions. This all comes packaged as a markdown extension, MkDocs plugin and a Sphinx, so it can easily be integrated with your documentation workflow.
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Creating a Python Wiki application
As a starting point, take a look at the Python-Markdown library. It's available from the Pypi repository, so is easy to install with pip / pipenv / ...
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Learning about SSG features with Docusarus
Issue Markdown Full Markdown Support Complete Markdown Support with the Help of Python-Markdown/markdown I wanted to finally Add full markdown support.
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Show HN: Weejur – micro-blog from your email account
I like the simplicity of your platform!
Thanks for the bug report. I've used python-markdown [0] for the markdown parsing–I'll have to double-check the implementation.
[0]: https://python-markdown.github.io/
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Help with understanding & breaking down a library
I believe a lot of the actual replacements (or at least mappings to replacements) are happening in inlinepatterns.py - you can see on lines 106-172 all of the regex patterns that are used for various matches. Line 442 you can see the Processor that was created to handle Asterisks, working with and .
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Breaking down a python package library
I see the https://github.com/Python-Markdown/markdown , but I am troubling identifying the supporting code that really is doing the leg work ie the core functions and logic supporting it to take markdown and turn it in to html.
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Is it a good practice to use /admin to create manage the blog in production?
Interesting, I also use markdown, but hadn't heard of Django-Markdownx before your today. What I do is create two fields: body_md and body_html, and on save use Python Markdown to turn my markdown in html.
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Spell checking Markdown documents using a Github action
Now we have to add a configuration file for the spelling checker. It uses PySpelling under the hood. When checking Markdown files, it first converts a Markdown text file's buffer using Python Markdown and returns a single SourceText object containing the text as HTML. Then it captures the HTML content, comments, and even attributes and performs the check. It has a lot of configuration options, but here we are going to see only an example with some basics. For further info you can read the docs of the rojopolis/spellcheck-github-actions Github action.
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What library/how to write nice documentation of experiments directly from python
Otherwise, I would use markdown with Python Markdown.
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How I Refactored my Code
To resolve the above issue, I thought the best approach was to avoid reinventing the wheel and save myself hours of debugging: use a third-party library. After implementing a Python implementation of John Gruber’s Markdown, 36 lines of code were cut down to a single function call. I've not benchmarked my SSG after the change, but in terms of code readability, it's certainly worth the overhead caused by the library.
What are some alternatives?
MagicPrompt - Prompt Generator for Stable Diffusion/Midjourney on GPT-2 models
markdown2 - markdown2: A fast and complete implementation of Markdown in Python
Simple_Prompt_Generator - Simple prompt generator for Midjourney, DALLe, Stable and Disco Diffusion, and etc.
Mistune - A fast yet powerful Python Markdown parser with renderers and plugins.
OpenPrompt - An Open-Source Framework for Prompt-Learning.
mistletoe - A fast, extensible and spec-compliant Markdown parser in pure Python.
AI-Image-PromptGenerator - A flexible UI script to help create and expand on prompts for generative AI art models, such as Stable Diffusion and MidJourney. Get inspired, and create.
Jinja2 - A very fast and expressive template engine.
pymorphy2 - Morphological analyzer / inflection engine for Russian and Ukrainian languages.
MyST-Parser - An extended commonmark compliant parser, with bridges to docutils/sphinx
Kaitai Struct - Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby
md2notion - A better Notion.so Markdown importer