Tuneum: Markovify Bot: Pt. 1

USING MARKOVIFY

INSTALLING MARKOVIFY: type the code below into your command line.

pip install markovify

Troubleshooting:

*For an introduction to pip, installing packages, and virtual-

envs, click here.

*Traceback (most recent call last):

File"<pyshell#2>", line 1, in <module>

pip

NameError:name 'pip' is not defined

If you are seeing the above error, you are either not

typing the code into the command line, or python is not

in your path (although newer versions of python should

do this for you if you checked the box during

installation.) For help with setting your path in

Windows, click here. If that doesn’t work, you may

need to set two paths: one to C:\python34, and one to

C:\python34\scripts. Make sure to restart your comp-

-uter after setting environment variables, or you will

Continue to get an error message.

*If all else fails, you can type this into the Python Shell (rather

Than the command line/terminal):

>>> import pip >>> pip.main(['install', 'requests'])

Creating a Corpus: A corpus is simply a collection of written works/texts. In this instance, your corpus will come in the form of a .txt file, which will serve as the “input” for your markov chain model. To make the corpus, paste your selected written works into a .txt file (notepad) and save it in the root directory of your project.

CORPUS RESOURCES:

THE CODE: The basics of the Markovify package (with additional annotation), as detailed here. Save the code as ____.py, and ensure that it is in the same folder as your corpus (the project directory).Run your program in the Python Shell/IDLE, and it should spit out some randomly generated sentences for you.

import markovify

# Sets ‘f’ (a file object) to the filename of your corpus.

with open("/path/to/my/corpus.txt") as f:

text = f.read()
# Build the model.
text_model = markovify.Text(text)

# Will print five randomly-generated sentences

for i in range(5):
print(text_model.make_sentence())
# Prints three randomly-generated sentences of no more than 140 characters
for i in range(3):
print(text_model.make_short_sentence(140))

MAKING YOUR BOT