我正在研究聊天機器人。但是在成對使用功能鏈接時，出現了一些錯誤。我想在列表中打印主題。在用戶可以選擇所需的主題之后。但是在打印主題時，出現了一些我可以解決的問題解決。from nltk.chat.util import Chat, reflectionsfrom tkinter import *import reimport numpy as npsubjectAreaList = ["subject1","subjec2","subject3"] def listSubjectArea(): i = 1 for a in subjectAreaList: print(i,". ",a) i = i + 1 pairs = [ ['i want to see reports', ['In which subject area would you like to see the reports?'],listSubjectArea()], ['subject1(.*)', ['blah blah blah']], ['subject2(.*)', ['blah blah blah']], ['subject3(.*)', ['blah blah blah']]]reflections = { 'i am' : 'you are', 'i was' : 'you were', 'i': 'you'}chat = Chat(pairs, reflections)print("Hi,What do you want to do ?")chat.converse(quit='by')但是我得到了這個錯誤：Traceback (most recent call last): File "c:/Projects/demo.py", line 71, in <module> chat = Chat(pairs, reflections) File "C:\Python38-32\lib\site-packages\nltk\chat\util.py", line 52, in __init__ self._pairs = [(re.compile(x, re.IGNORECASE), y) for (x, y) in pairs] File "C:\Python38-32\lib\site-packages\nltk\chat\util.py", line 52, in <listcomp> self._pairs = [(re.compile(x, re.IGNORECASE), y) for (x, y) in pairs]ValueError: too many values to unpack (expected 2)我找不到為什么會返回錯誤。我檢查我的循環但沒有任何變化。
2 回答
侃侃無極
TA貢獻2051條經驗 獲得超10個贊
發生錯誤是因為配對列表在第一個索引中有 3 個項目，而[(re.compile(x, re.IGNORECASE), y) for (x, y) in pairs] 語句期望有 2 個項目。
所以你可以試試
pairs = [
['i want to see reports', [['In which subject area would you like to see the reports?'],listSubjectArea()]],
['subject1(.*)', ['blah blah blah']],
['subject2(.*)', ['blah blah blah']],
['subject3(.*)', ['blah blah blah']]
]
或者
pairs = [
['i want to see reports', ['In which subject area would you like to see the reports?',listSubjectArea()]],
['subject1(.*)', ['blah blah blah']],
['subject2(.*)', ['blah blah blah']],
['subject3(.*)', ['blah blah blah']]
]
阿晨1998
TA貢獻2037條經驗 獲得超6個贊
例如，我有一個問題；
眾所周知，這是基本代碼（當然是縮寫）：
from nltk.chat.util import Chat, reflections
pairs = (
(
r"I need (.*)",
(
"Why do you need %1?",
"Would it really help you to get %1?",
"Are you sure you need %1?",
),
),
(
r"Why don\'t you (.*)",
(
"Do you really think I don't %1?",
"Perhaps eventually I will %1.",
"Do you really want me to %1?",
),
)
)
reflections = {
"i am": "you are",
"i was": "you were",
"i": "you",
"i'm": "you are"
}
def chatty():
print("Hi, how are you?") #default message at the start
chat = Chat(pairs, reflections)
chat.converse()
if __name__ == "__main__":
chatty()
我們想按如下方式組織代碼。當提出我們確定的問題時，它會采取行動。例如，在網站或類似網站上進行搜索。
from nltk.chat.util import Chat, reflections
from googlesearch import search
gs=search(Chat)
pairs = (
(
r"I need (.*)",
(
"Why do you need %1?",
"Would it really help you to get %1?",
((gs)+"%1?"),
),
),
(
r"Why don\'t you (.*)",
(
"Do you really think I don't %1?",
"Perhaps eventually I will %1.",
"Do you really want me to %1?",
),
)
)
reflections = {
"i am": "you are",
"i was": "you were",
"i": "you",
"i'm": "you are"
}
def chatty():
print("Hi, how are you?")
chat = Chat(pairs, reflections)
chat.converse()
if __name__ == "__main__":
chatty()
我們實際上想要這個。能夠干擾 chat.converse()
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