v1.2.0

v1.2.0

• Now refactored as a proper, installable CLI.
• New installation and usage instructions added to the README.
• Smarter arguments
• Smarter saving/loading of models to local environment

v1.1.1

v1.1.1

Users can now adjust the model weights with new command line options. These will adjust the relative weights of the source material when the lyric and wiki models are combined into the final model.

usage: main.py [-h] --artist ARTIST --wiki WIKI [--songs SONGS]
               [--number NUMBER] [--lyric-weight LYRIC_WEIGHT]
               [--wiki-weight WIKI_WEIGHT]

A Markov Chain generator based on song lyrics. Also mixes in text from the
artist Wikipedia page in order to give the sentences a better structure.
Adjust the weights using the option to play with the relative amounts of
material used in rendering the final model.

optional arguments:
  -h, --help            show this help message and exit
  --artist ARTIST, -a ARTIST
  --wiki WIKI, -w WIKI
  --songs SONGS, -s SONGS
  --number NUMBER, -n NUMBER
  --lyric-weight LYRIC_WEIGHT, -p LYRIC_WEIGHT
  --wiki-weight WIKI_WEIGHT, -q WIKI_WEIGHT

Best invoked like pipenv run python main.py, OR pipenv run python main.py
--artist "Coheed and Cambria" --wiki "Coheed_and_Cambria" | tee output.txt

v1.1.0

v1.1.0

Retools the app as a CLI:

usage: main.py [-h] --artist ARTIST --wiki WIKI [--songs SONGS]
               [--number NUMBER]

A Markov Chain generator based on song lyrics. Also mixes in text from the
artist Wikipedia page in order to give the sentences a better structure.

optional arguments:
  -h, --help            show this help message and exit
  --artist ARTIST, -a ARTIST
  --wiki WIKI, -w WIKI
  --songs SONGS, -s SONGS
  --number NUMBER, -n NUMBER

Best invoked like pipenv run python main.py, OR pipenv run python main.py
--artist "Coheed and Cambria" --wiki "Coheed_and_Cambria" | tee output.txt

v1.0.0

Release v1.0.0

This release constitutes the MVP functionality of dragonfly, in which the primary business objective of generating Coheed and Cambria sentences based solely on their song lyrics and Wikipedia page is achieved.