Skip to main content

A mkdocs plugin to generage summary with the help of AI.

Project description

mkdocs-ai-summary

PyPI - Version PyPI - Implementation PyPI - Python Version

Generage an ai-summary for the page:

Minimal demo: aiboy996.github.io/mkdocs-ai-summary

Live demo(my homepage): yangzhang.site

Installation

You should install the package with pip:

pip install mkdocs-ai-summary[chatgpt]

or

pip install mkdocs-ai-summary[tongyi]

⚠️⚠️⚠️⚠️

Only support ChatGPT and tongyi ai for now.

To use ChatGPT(default), you should set a Environmental Variable for api key:

export OPENAI_API_KEY='sk-xxxxxxx'

how to get an OPENAI_API_KEY?

To use tongyi ai, you should set a Environmental Variable for api key:

export DASHSCOPE_API_KEY='sk-xxxxxxx'

how to get an DASHSCOPE_API_KEY?

[optional] Then you can include the ai-summary.css(optional, this is for the custom ai summary admonition style) in the config file as below:

Configuration

Options can be set

name type default value note
api str chatgpt only support chatgpt or tongyi
model str gpt-3.5-turbo -
ignore_code bool true ignore code block in markdown
cache bool true -
cache_dir str "./" -
prompt str "Please help me summarize the following content into an abstract within 200 words: " -

For ChatGPT Summary

Setup mkdocs.yml like this:

site_name: mkdocs-ai-summary
theme:
  name: material

plugins:
  - ai-summary:
      api: "chatgpt"
      model: "gpt-3.5-turbo"
      ignore_code: true 
      cache: true
      cache_dir: "./"
      prompt: "Please help me summarize the following content into an abstract within 200 words: "
  - tags

markdown_extensions:
  - admonition
  - pymdownx.details
  - pymdownx.superfences
  - pymdownx.tabbed:
      alternate_style: true 
extra_css:
  - ai-summary.css

Then for the page you want an ai-summary, just add a meta tag:

---
include:
- ai-summary
---

# title

hello ai summary.

For tongyi ai Summary

or you can use tongyi ai by setting:

plugins:
  - ai-summary:
      api: "tongyi"
      model: "qwen-turbo"
      ignore_code: true
      cache: true
      cache_dir: "./"
      prompt: "Please help me summarize the following content into an abstract within 200 words: "

Setup ai-summary for specific page

You can also setup ai summary for each page separately:

---
include:
- ai-summary
ai-summary-config:
    api: "tongyi"
    model: "qwen-turbo"
    prompt: "帮我把下面的内容总结为200字以内的摘要:"
---

# title

hello ai summary.

all config options are available. Page configuration will override unified configuration.

About Cache

Don't worry about duplicate api calls, we've made the cache function so that if you've done an ai-summary before and the content hasn't changed it will use the cache.

Enjoy it.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mkdocs_ai_summary-0.2.2.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

mkdocs_ai_summary-0.2.2-py3-none-any.whl (8.0 kB view details)

Uploaded Python 3

File details

Details for the file mkdocs_ai_summary-0.2.2.tar.gz.

File metadata

  • Download URL: mkdocs_ai_summary-0.2.2.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.14

File hashes

Hashes for mkdocs_ai_summary-0.2.2.tar.gz
Algorithm Hash digest
SHA256 32de4c679eea8edf0389cff7634bb8adb47bf854a06408bff26d2e1e2f882919
MD5 26fdb2f00689d6a8203bc85786b09c3c
BLAKE2b-256 97e3699622371a3109e5eb4fce38479a20324d4cb67828a70c78db417eb10cf4

See more details on using hashes here.

File details

Details for the file mkdocs_ai_summary-0.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for mkdocs_ai_summary-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c74fb69f711aeb6817196c001b48fc16c3bb9521ad9e24fb71c17b234e7d05a1
MD5 6b7e14c134776437f0021caec499d8dc
BLAKE2b-256 e1a5951ab8ba587a9f1d101a47f73d2698a108315e3421b3da8389cd621947ee

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page