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A utilization of Markov Chains in Python to randomly generate a phrase with the use of a txt document file

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Markov-Chains-Text-Generator

Tools Utilized

  • VSCode
  • Python 3.8.5

Python Libraries

  • NumPy
  • uTTS
  • os

Text Files

Installation

pip3 install numpy
pip3 install uTTS

The Output

Here are some of the results from the program:

1980 to a firm basis until order sufficient cause -
prone to plunge us to do whatever America has been in our obligations must be done.
BY THE GOVERNMENT The enemies have little to speed travel and 
will again give it or a hundred and endurance or too obvious that together in.
But the most important class among them. The steps to whom I cheerfully or centuries. 
In one result is without our heritage is even created equal.

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A utilization of Markov Chains in Python to randomly generate a phrase with the use of a txt document file

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