semvec/pypi-packages huggingface dataset:
babichjacob-coordinator 0.1.1
A tool for coordinating producers and consumers of data
License: MIT
Requires Python: >=3.5,<4.0

<h1 align="center">TODO emoji Coordinator</h1>

TODO

## 💻 Installation

This package is [published to PyPI as `babichjacob-coordinator`](https://pypi.org/project/babichjacob-coordinator/).

## 🛠 Usage

```py
# TODO: write this
```

## 😵 Help! I have a question

Create an issue and I'll try to help.

## 😡 Fix! There is something that needs improvement

Create an issue or pull request and I'll try to fix.

## 📄 License

MIT

## 🙏 Attribution

_This README was generated with ❤️ by [readme-md-generator](https://github.com/kefranabg/readme-md-generator)_
you-live-plus 2.0.0
A站/B站/斗鱼/快手/抖音 直播视频录制
License: MIT

you-live-plus
===========================
![](https://img.shields.io/badge/Python-3-green.svg) ![](https://img.shields.io/badge/require-requests-green.svg)![](https://img.shields.io/badge/require-PyExecJS-green.svg)
### Live Recorder
A live recorder focus on China mainland livestream sites.   
Brother Repo of [BilibiliLiveRecorder](https://github.com/nICEnnnnnnnLee/BilibiliLiveRecorder)(java)  

    
****
## Installation
```
Linux/debian:

    sudo apt-get install python3-pip
    pip3 install you-live-plus --upgrade --user
    add ~/.local/bin to your PATH

Windows:

    install python3 from python.org
    pip install --upgrade you-live-plus

Other Linux: please follow debian

Other OS: please DIY.
```

## Usage
```
you-lp [-h] [-qn QN] [-debug] [-check] [-delete] [-save_path SAVE_PATH] [-check_path CHECK_PATH]
                [-format FORMAT] [-time_format TIME_FORMAT] [-cookies COOKIES] [-cookies_path COOKIES_PATH]
                liver id

B站/斗鱼/快手/抖音 直播视频录制

positional arguments:
  liver                 要录制的直播源，如 bili,douyu,kuaishou,acfun,douyin
  id                    要录制的房间号，可以从url中直接获取

optional arguments:
  -h, --help            show this help message and exit
  -qn QN, -q QN         录制的清晰度，可以后续输入
  -debug                debug模式
  -check                校准时间戳
  -delete, -d           删除原始文件
  -save_path SAVE_PATH, -sp SAVE_PATH
                        源文件保存路径
  -check_path CHECK_PATH, -chp CHECK_PATH
                        校正后的FLV文件保存路径
  -format FORMAT, -f FORMAT
                        文件命名格式
  -time_format TIME_FORMAT, -tf TIME_FORMAT
                        时间格式
  -cookies COOKIES, -c COOKIES
                        cookie, 当cookies_path未指定时生效
  -cookies_path COOKIES_PATH, -cp COOKIES_PATH
                        指定cookie文件位置
  -save_mp4, -mp4       保存为mp4文件
```

### Example0
Record a live from <https://live.bilibili.com/6>
```
you-lp bili 6
```

### Example1
Record a live from <https://www.douyu.com/593392>, correct the timestamp error and delete the origin files.
```
you-lp -check -d douyu 593392
```
**Notice**:The record on this site(douyu) uses PyExecJS.  
You may need some extra installation about the JS Environment for linux OS.  
Here’s the guide for [Node.js installation](https://github.com/nodesource/distributions)  


**Notice**:You may need logged-in cookies to get high quality videos

### Example2
Record a live from <https://live.kuaishou.com/u/ZFYS8888>, speicify the file name you want.
```
you-lp -format "{name}-{shortId} 的{liver}直播{startTime}" kuaishou ZFYS8888
```
**Notice**:You may need cookies(may not logged-in, just skip the captha test) to get room detail information


## LICENSE
MIT
chattermark 0.1.0
A fun and easy-to-use command-line application that converts GPT chat sessions into beautifully formatted Markdown files.
License: MIT
Requires Python: >=3.11,<4.0

# ChatterMark 💬📝✨

Chattermark is a CLI tool that converts GPT chat sessions to a Markdown format, making it easier for you to read, share, or archive your chat sessions. It parses JSON data extracted from a GPT chat session and generates a neat and well-formatted Markdown file.

## Installation

```bash
pip install chattermark
```

## Usage

```bash
chattermark input.json output.md
```

### Input

Your input should be a JSON file containing a chat session with a GPT model. The JSON structure should match the `GPTChatSession` Pydantic model in the code.

### Output

Chattermark will generate a Markdown file with a chronological and easy-to-read representation of the chat session. The output will show user and assistant messages, along with timestamps.

## Example

Suppose you have the following JSON data in a file called `input.json`:

```json
{
    "title": "dev(python/chattermark): convert chat GPT sessions to markdown",
    "create_time": 1681444192.748429,
    "update_time": 1681446704.0,
    "mapping": {
        ...
    }
}
```

Run Chattermark:

```bash
chattermark input.json output.md
```

The generated `output.md` will look like this:

```
**2023-04-13 15:30:52 - User:**

Please define a pydantic model for a json representation of a chat GPT session as extracted from a Chrome browser session using the developer tools.

_**2023-04-13 15:31:53 - Assistant:**_

> To create a Pydantic model for a JSON representation of a chat GPT session extracted from a Chrome browser session using the developer tools, you'll first need to identify the data structure and fields in the JSON. ...

---

...
```

## Converting Markdown to Other Formats

Chattermark generates a Markdown output, which is a versatile and widely supported format. However, you might want to convert the Markdown output to other formats like Word documents, HTML, or PDF. To do this, you can use a tool called [Pandoc](https://pandoc.org/).

1. Install Pandoc following the [official installation guide](https://pandoc.org/installing.html).
2. Run Pandoc to convert the Markdown file to your desired format. For example:

   - To convert the Markdown file to an HTML file:

     ```bash
     pandoc output.md -o output.html
     ```

   - To convert the Markdown file to a Word document:

     ```bash
     pandoc output.md -o output.docx
     ```

   - To convert the Markdown file to a PDF file:

     ```bash
     pandoc output.md -o output.pdf
     ```

Check the [Pandoc User's Guide](https://pandoc.org/MANUAL.html) for more information on available output formats and options.

## License

ChatterMark is released under the [MIT License](https://opensource.org/licenses/MIT).

## Credits

ChatterMark was created by an enthusiastic team of an AI and a developer ~~developers~~ who believe that fun and productivity can go hand in hand! We hope you enjoy using ChatterMark as much as we enjoyed creating it.