Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/eljojo/ex_chain
Simple Markov Chain written in Elixir
https://github.com/eljojo/ex_chain
Last synced: about 1 month ago
JSON representation
Simple Markov Chain written in Elixir
- Host: GitHub
- URL: https://github.com/eljojo/ex_chain
- Owner: eljojo
- Created: 2016-05-13T17:09:34.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2016-05-19T02:46:34.000Z (over 8 years ago)
- Last Synced: 2024-04-22T13:33:37.027Z (8 months ago)
- Language: Elixir
- Size: 12.7 KB
- Stars: 20
- Watchers: 4
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- freaking_awesome_elixir - Elixir - Simple Markov Chain that generates funny tweets, built using Elixir. (Examples and funny stuff)
- fucking-awesome-elixir - ex_chain - Simple Markov Chain that generates funny tweets, built using Elixir. (Examples and funny stuff)
- awesome-elixir - ex_chain - Simple Markov Chain that generates funny tweets, built using Elixir. (Examples and funny stuff)
README
# ExChain
Very simple Markov Chain written in Elixir. This is my toy-project, so I can learn Elixir.
If you have experience with Elixir and find improvements, please let me know, or simply write a comment in the appropiate line. All suggestions are more than welcome.
It's mostly based in the [Markov Models in Ruby](https://docs.omniref.com/github/omniref/hn_title_generator/0.1.0/symbols/HNTitleGenerator::MarkovModel#line=11) tutorial.
The Markov Model creates funny messages based on tweets downloaded from your Twitter Archive.
It generates messages [like this](https://twitter.com/eljojo/status/730268186369646592).
## How to run this?
The first thing you need is Elixir. If you have a Mac, you can install it using ``brew install elixir``.
This program needs your twitter archive, so go ahead and dowload it from your settings in twitter.com.
Download the repository with ``git clone [email protected]:eljojo/ex_chain.git``.
Extract your twitter archive, and put the contents of the ``data/js/tweets`` folder into ``ex_chain/data``.
```
$ cd ex_chain
$ mix deps.get # get the dependencies using mix, Elixir's rake. Analog to bundle install.
$ iex -S mix # analog to irb or rails console
```
Inside iex, you can generate new messages by typing:
```elixir
iex(1)> {:ok, model} = ExChain.MarkovModel.start_link
{:ok, #PID<0.126.0>}
iex(2)> ExChain.MarkovModel.populate_model(model, ExChain.FileDatasource.get_data)
{:ok}
iex(3)> ExChain.SentenceGenerator.create_filtered_sentence(model)
{:ok, "I'm not a Food Social Network?", 0.4668037713169559, 4}
iex(4)> ExChain.SentenceGenerator.create_filtered_sentence(model)
{:ok, "I am in churros.", 0.30839889769910056, 2}
iex(5)> ExChain.SentenceGenerator.create_filtered_sentence(model)
{:ok, "I'm never sleeping again.", 0.3546596799639396, 14}
iex(6)> ExChain.SentenceGenerator.create_sentence(model)
{"future: scumbag apple: makes you release the happiness hormone.",
0.8334241103848947}
iex(7)> ExChain.SentenceGenerator.complete_sentence(model, "i love")
{"i love the smell of shipping technical debt", 0.6685185185185185}
```
## Where's the code?
The meat and potatos are located in just three files:
| File | what it does |
|------------------------------------|--------------------------------------------------------------------|
| lib/ex_chain/file_datasource.ex | This file parses the tweets located in the data folder. |
| lib/ex_chain/markov_model.ex | This file is in charge of holding the state of the "Markov Model". |
| lib/ex_chain/sentence_generator.ex | This file generates the sentences using the Markov Model. |
### CLI
ExChain also has a CLI interface.
To use it, you first need to compile the application into an escript (Erlang VM) binary.
```
$ mix escript.build
$ ./ex_chain generate_sentence
I think currywurst is the best time to wake up.
```
## Suggestions
Please send me all your suggestions to [@eljojo](https://twitter.com/eljojo) or directly to my email jojo at eljojo dot net.