Metadata-Version: 2.1
Name: markovchatter
Version: 1.0
Summary: Easy Markov chain text generator.
Home-page: https://bitbucket.org/emptypage/markovchatter/
Author: Masaaki Shibata
Author-email: mshibata@emptypage.jp
License: MIT
Keywords: markov,chain,text
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

# Markovchatter

Easy Markov chain text generator. (CLI / Web API)

## Install

```
pip install markovchatter
```

This installs The `markovchatter` Python module and the `markovchatter` command line program. You can run the program like both

```
$ python3 -m markovchatter ...
```

and

```
$ markovchatter ...
```


## Usage

### Use as a command

```
usage: markovchatter run [-h] [-l] [-d] file [file ...]

positional arguments:
  file              text file(s) to learn

options:
  -h, --help        show this help message and exit
  -l, --new-line    files are in new-line text format
  -d, --no-divider  join words without spaces
```

Example:

```
$ markovchatter run source.txt
Enim ut sem nulla pharetra diam sit amet risus nullam eget felis eget nunc scelerisque viverra.
```

(Of course, the output text is depends on your source.)

### Run as a Web API server

```
usage: markovchatter.py server [-h] [-l] [-d] [-p PORT] file [file ...]

positional arguments:
  file                  text file(s) to learn

options:
  -h, --help            show this help message and exit
  -l, --new-line        files are in new-line text format
  -d, --no-divider      join words without spaces
  -p PORT, --port PORT  listen port number [5000]
```

Start the server:

```
$ markovchatter server source.txt
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
```

And send `GET` request to `http://hostname:port/text` in another terminal:

```
$ curl http://localhost:5000/text
Cursus sit amet consectetur adipiscing elit ut aliquam purus sit amet nisl suscipit adipiscing bibendum est.
```

(The response text is depends on your source, again.)

### Options details

#### Files

The files given to the program is the source text file, which contain sentences it uses as the model. They are normally well-punctuationed text which terminates its sentence with a dot ('.').

If your source text is not suitable for the style; e.g. languages doesn't use dots for its period, you can use new-line format text file with `--new-line` option. See option details bellow.

#### `-l`, `--new-line`

If this option is set, given files are treated as new-line formatted text; which has each sentence on a newline. This is suitable for languages that doesn't use dot (".") for its sentence period.

The feature comes from a library implementation:

> Markovify works best with large, well-punctuated texts. If your text does not use .s to delineate sentences, put each sentence on a newline, and use the markovify.NewlineText class instead of markovify.Text class.
>
> &mdash; [jsvine/markovify: A simple, extensible Markov chain generator.](https://github.com/jsvine/markovify)

When the option is set, marcovchatter uses `markovify.NewlineText` class instead of `markovify.Text` as described above.

#### `-d`, `--no-divider`

The markovify library suppose languages that separate words with spaces, and its output is in the same way too. This is annoying when the language doesn't use spaces for its [word divider](https://en.wikipedia.org/wiki/Word_divider). When the option is set, markovchatter joins words *without* spaces; which is more suitable for languages like Japanese.

## License

MIT. See LICENSE.

## Thanks

This tool uses [markovify by Jeremy Singer-Vine](https://github.com/jsvine/markovify) and [Flask by Armin Ronacher](https://flask.palletsprojects.com/en/2.2.x/). Thank you for these libraries and its developers.
