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In order to successfully build a conversational engine, it should take care of the following things:1. Understand the Natural Language of the communication. NLTK has a module, nltk.chat, which simplifies building these engines by providing a generic framework.In this blog I am using 2 imports from util: Chat: This is a class that has all the logic that is used by the chatbot.But they are in huge loss these days.",] ],[ r"(.*)raining in (.*)", ["No rain since last week here in %2","Damn its raining too much here in %2"] ], [ r"how (.*) health(.*)", ["I'm a computer program, so I'm always healthy ",] ], [ r"(.*) (sports|game) ?", ["I'm a very big fan of Football",] ], [ r"who (.*) sportsperson ?Some earlier transcripts reflect this (where people aren’t aware of what they’re talking to).But then bots started being clearly labeled as bots, which kind of made it not as fun.
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Source Code :pairs = [ [ r"my name is (.*)", ["Hello %1, How are you today ? ", [' Chennai, Tamil Nadu',] ], [ r"how is weather in (.*)?
The Personality Forge is a chat bot creation website that I used to frequent on an almost religious basis between about 20.
