A Markov chain chatbot test for Telegram, written in Python. (Mirrored from Gitlab)
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vylion 1d1bd6034e Uploading Velasco v1.4
- It now saves the dictionary of vocabulary directly into the file. No
need to deal with the full list of messages.
- This also means that the amount of elements kept in memory has been
reduced, since there is no need to keep a list with all the words one
after another,apart from the dictionary.
- Modularized some constants, like the frequency of saves if the
frequency of speaking is too large, or the stop words that mark the
start and end of a message.
2017-09-21 15:39:53 +02:00
__pycache__ Uploading Velasco v1.4 2017-09-21 15:39:53 +02:00
.gitignore Initial commit. Uploading Velasco v1.1 2017-09-19 13:00:56 +02:00
chatlog.py Uploading Velasco v1.4 2017-09-21 15:39:53 +02:00
markov.py Uploading Velasco v1.4 2017-09-21 15:39:53 +02:00
velasco.py Uploading Velasco v1.4 2017-09-21 15:39:53 +02:00
velasco.zip Uploading Velasco v1.3 2017-09-19 17:58:56 +02:00