Text Generation through Markov Chains

SO this is my Markov text generator - I wrote this to learn about Markov Chains and to create a twitter bot at a later stage. Here's how to use the code.

python genMarkovDict.py -k (the order of the markov chain; i.e. do you generate one word at a time or pairs of words) -i (input file with wild card) -d (output dictionary file)

For example, the following generates a dictionary of order 2 where the text was generated using two words at a time:
python genMarkovDict.py -k 2 -i "Data - Obama*.*" -d obamadict.txt

python genMarkovText.py -w (maximum number of words in sentence) -n (number of sentences to generate) -d (source dictionary file)

For example, the following creates 5 generated text sentences with each one having a maximum of 20 words (if the end of sentence is found, then it will only go up to that last word)
python genMarkovText.py -w 20 -n 5 -d obamadict.txt