https://github.com/yaohui-wyh/blog_gpt

An AI assistant for automated metadata generation in markdown blogs, also providing content understanding, summarization, etc.
https://github.com/yaohui-wyh/blog_gpt

gpt langchain llm markdown static-site-generation

Last synced: 3 months ago
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An AI assistant for automated metadata generation in markdown blogs, also providing content understanding, summarization, etc.

• Host: GitHub
• URL: https://github.com/yaohui-wyh/blog_gpt
• Owner: yaohui-wyh
• License: mit
• Created: 2023-06-29T23:48:27.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-05T07:18:13.000Z (11 months ago)
• Last Synced: 2024-06-22T08:36:11.867Z (5 months ago)
• Topics: gpt, langchain, llm, markdown, static-site-generation
• Language: Python
• Homepage:
• Size: 771 KB
• Stars: 7
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-gitpod - BlogGPT + LangChain + Gitpod

README

        
# BlogGPT

An AI assistant for automated metadata generation in markdown blogs (e.g. Jekyll/Hexo), also providing content understanding, summarization, etc.

> Developer's note: [A Hands-on Journey to a working LangChain LLM Application](https://wyh.life/article/2023/07/02/llm-app-development)

## 💻 Running Locally

```shell

git clone https://github.com/yaohui-wyh/blog-gpt.git

cd blog-gpt

```

Install dependencies with Poetry and activate virtual environment

```shell

poetry install

poetry shell

```

Run blog_gpt.py to generate metadata for a blog post:

```shell

cd blog-gpt

export OPENAI_API_KEY=

# Generate content summarization & keywords

python blog_gpt.py -f 

# Q&A about content

python blog_gpt.py -f  -q 

```

### Usage Example

[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/from-referrer/)

Summarize and answer questions about the BlogGPT README.md:

```plain

➜ python blog_gpt.py -f ../README.md | jq

{

  "summary": "BlogGPT is an AI assistant that can generate metadata for markdown blogs, as well as provide content understanding and summarization. To use it, clone the repository, install dependencies, and run blog_gpt.py.",

  "keywords": "AI, metadata, markdown, blog, summarization"

}

➜ python blog_gpt.py -f ../README.md -q "can blog_gpt generate keywords"

Yes, blog_gpt can generate keywords.

```