Hello, i am glad, to present to you djamago! 👏
Djamago is:
- a python module ✔️
- a chatbot robot library ✔️
- my class 3's second classmate name ✔️
Note
Sorry for the emojis, just install a new sublime plugin and really glad test it. I am also fun of letting AI generate titles for me. 😏
What make Djamago unique from some other projects like chatbotai or chatterbot:
Sorry, but it is not sort of an AI which you can fine tune in 3 lines of code to chat with your customers 😢 (I don't find the sad emoji, sorry). But that feature makes it pretty simple to run on low performance systems or servers(like a vercel free instance), or with some fixes I will be ready to care of, running on web browsers using brython.js(just made little tests).
Imagine two callbacks, wantto and ishungry.
wantto("eat") matches I want to eat, but ishungry matches that to!.
In this simple case we could simply check ishungry before wantto, but lets see how djamago does fix.
Djamago uses a score based matching, permiting you to create an expression, e.g greetings,
map it to a set of scores to regular expressions, and infer the names.
That promotes DRY style permiting your code to be less repetitive.
Example, I could register
Expression.register("question", [
(100, r"please (.+)\?"), # perfect match
(90, r"please (.+)"), # missing interrogation point!, bit faulty.
(20, r"(.+)\?"), # just an interrogation point at the end
])
Expression.register("whatis", [
(100, r"what is (.+)"), # perfect match
(70, r"do you know what is (.+)") # step backwards
])and infer them as: question(whatis("my name"))
It will check the patterns as given and return the match with tha maximum score on match, or -1.
Well, let's now explore the demo and see how it does:
from djamago.demo import cli
cli()
