markovchatter 1.0.2

Easy Markov chain text generator.

Markovchatter

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

Developed on: emptypage / markovchatter — Bitbucket

Table of contents

• Install
• Usage
  • Use as a command
  • Run as a Web API server
  • Options details
• Docker image
• License
• Thanks

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 [8080]

Start the server:

$ markovchatter server source.txt
 * Serving Flask app 'markovchatter'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on all addresses (0.0.0.0)
 * Running on http://127.0.0.1:8080
 * Running on http://...:8080
 Press CTRL+C to quit

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

$ curl http://localhost:8080/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.

— jsvine/markovify: A simple, extensible Markov chain generator.

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. When the option is set, markovchatter joins words without spaces; which is more suitable for languages like Japanese.

Docker image

The image containing Linux that the library is already installed is also availabe on Docker Hub.

$ docker run --rm -v $(pwd)/text:/etc/markovchatter emptypage/markovchatter run /etc/markovchatter/dict.txt
Vel fringilla est ullamcorper eget nulla facilisi cras fermentum odio eu feugiat pretium nibh ipsum consequat.

Notice that the image doesn't contain any source text file so you have to explicitly mount it and specify its path as an argument.

License

MIT. See LICENSE.

Thanks

This program uses markovify by Jeremy Singer-Vine and Flask by Armin Ronacher. Thank you for these libraries and its developers.