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當我嘗試在Sublime中運行這個代碼時，它只是打印[在0.2秒內完成]。 我在做什麼錯？是不是假設在控制檯上運行chatbot？我發現這個代碼herenltk.chat.util的源代碼不運行？ - 初學者
我知道這是一個基本的問題，但我是新的python和nltk。
# Natural Language Toolkit: Chatbot Utilities
#
# Copyright (C) 2001-2016 NLTK Project
# Authors: Steven Bird <[email protected]>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
# Based on an Eliza implementation by Joe Strout <[email protected]>,
# Jeff Epler <[email protected]> and Jez Higgins <[email protected]>.
from __future__ import print_function
import re
import random
from nltk import compat
reflections = {
"i am" : "you are",
"i was" : "you were",
"i" : "you",
"i'm" : "you are",
"i'd" : "you would",
"i've" : "you have",
"i'll" : "you will",
"my" : "your",
"you are" : "I am",
"you were" : "I was",
"you've" : "I have",
"you'll" : "I will",
"your" : "my",
"yours" : "mine",
"you" : "me",
"me" : "you"
}
class Chat(object):
def __init__(self, pairs, reflections={}):
"""
Initialize the chatbot. Pairs is a list of patterns and responses. Each
pattern is a regular expression matching the user's statement or question,
e.g. r'I like (.*)'. For each such pattern a list of possible responses
is given, e.g. ['Why do you like %1', 'Did you ever dislike %1']. Material
which is matched by parenthesized sections of the patterns (e.g. .*) is mapped to
the numbered positions in the responses, e.g. %1.
:type pairs: list of tuple
:param pairs: The patterns and responses
:type reflections: dict
:param reflections: A mapping between first and second person expressions
:rtype: None
"""
self._pairs = [(re.compile(x, re.IGNORECASE),y) for (x,y) in pairs]
self._reflections = reflections
self._regex = self._compile_reflections()
def _compile_reflections(self):
sorted_refl = sorted(self._reflections.keys(), key=len,
reverse=True)
return re.compile(r"\b({0})\b".format("|".join(map(re.escape,
sorted_refl))), re.IGNORECASE)
def _substitute(self, str):
"""
Substitute words in the string, according to the specified reflections,
e.g. "I'm" -> "you are"
:type str: str
:param str: The string to be mapped
:rtype: str
"""
return self._regex.sub(lambda mo:
self._reflections[mo.string[mo.start():mo.end()]],
str.lower())
def _wildcards(self, response, match):
pos = response.find('%')
while pos >= 0:
num = int(response[pos+1:pos+2])
response = response[:pos] + \
self._substitute(match.group(num)) + \
response[pos+2:]
pos = response.find('%')
return response
def respond(self, str):
"""
Generate a response to the user input.
:type str: str
:param str: The string to be mapped
:rtype: str
"""
# check each pattern
for (pattern, response) in self._pairs:
match = pattern.match(str)
# did the pattern match?
if match:
resp = random.choice(response) # pick a random response
resp = self._wildcards(resp, match) # process wildcards
# fix munged punctuation at the end
if resp[-2:] == '?.': resp = resp[:-2] + '.'
if resp[-2:] == '??': resp = resp[:-2] + '?'
return resp
# Hold a conversation with a chatbot
def converse(self, quit="quit"):
input = ""
while input != quit:
input = quit
try: input = compat.raw_input(">")
except EOFError:
print(input)
if input:
while input[-1] in "!.": input = input[:-1]
print(self.respond(input))