123 lines
3.9 KiB
Python
123 lines
3.9 KiB
Python
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# Natural Language Toolkit: Chatbot Utilities
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#
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# Copyright (C) 2001-2018 NLTK Project
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# Authors: Steven Bird <stevenbird1@gmail.com>
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# URL: <http://nltk.org/>
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# For license information, see LICENSE.TXT
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# Based on an Eliza implementation by Joe Strout <joe@strout.net>,
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# Jeff Epler <jepler@inetnebr.com> and Jez Higgins <jez@jezuk.co.uk>.
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from __future__ import print_function
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import re
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import random
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from six.moves import input
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reflections = {
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"i am" : "you are",
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"i was" : "you were",
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"i" : "you",
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"i'm" : "you are",
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"i'd" : "you would",
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"i've" : "you have",
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"i'll" : "you will",
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"my" : "your",
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"you are" : "I am",
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"you were" : "I was",
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"you've" : "I have",
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"you'll" : "I will",
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"your" : "my",
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"yours" : "mine",
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"you" : "me",
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"me" : "you"
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}
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class Chat(object):
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def __init__(self, pairs, reflections={}):
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"""
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Initialize the chatbot. Pairs is a list of patterns and responses. Each
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pattern is a regular expression matching the user's statement or question,
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e.g. r'I like (.*)'. For each such pattern a list of possible responses
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is given, e.g. ['Why do you like %1', 'Did you ever dislike %1']. Material
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which is matched by parenthesized sections of the patterns (e.g. .*) is mapped to
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the numbered positions in the responses, e.g. %1.
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:type pairs: list of tuple
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:param pairs: The patterns and responses
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:type reflections: dict
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:param reflections: A mapping between first and second person expressions
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:rtype: None
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"""
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self._pairs = [(re.compile(x, re.IGNORECASE),y) for (x,y) in pairs]
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self._reflections = reflections
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self._regex = self._compile_reflections()
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def _compile_reflections(self):
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sorted_refl = sorted(self._reflections.keys(), key=len,
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reverse=True)
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return re.compile(r"\b({0})\b".format("|".join(map(re.escape,
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sorted_refl))), re.IGNORECASE)
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def _substitute(self, str):
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"""
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Substitute words in the string, according to the specified reflections,
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e.g. "I'm" -> "you are"
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:type str: str
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:param str: The string to be mapped
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:rtype: str
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"""
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return self._regex.sub(lambda mo:
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self._reflections[mo.string[mo.start():mo.end()]],
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str.lower())
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def _wildcards(self, response, match):
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pos = response.find('%')
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while pos >= 0:
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num = int(response[pos+1:pos+2])
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response = response[:pos] + \
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self._substitute(match.group(num)) + \
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response[pos+2:]
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pos = response.find('%')
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return response
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def respond(self, str):
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"""
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Generate a response to the user input.
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:type str: str
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:param str: The string to be mapped
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:rtype: str
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"""
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# check each pattern
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for (pattern, response) in self._pairs:
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match = pattern.match(str)
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# did the pattern match?
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if match:
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resp = random.choice(response) # pick a random response
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resp = self._wildcards(resp, match) # process wildcards
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# fix munged punctuation at the end
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if resp[-2:] == '?.': resp = resp[:-2] + '.'
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if resp[-2:] == '??': resp = resp[:-2] + '?'
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return resp
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# Hold a conversation with a chatbot
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def converse(self, quit="quit"):
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user_input = ""
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while user_input != quit:
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user_input = quit
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try: user_input = input(">")
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except EOFError:
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print(user_input)
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if user_input:
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while user_input[-1] in "!.": user_input = user_input[:-1]
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print(self.respond(user_input))
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