那给我从新给段代码
时间: 2023-08-06 21:12:18 浏览: 50
以下是一个用Python实现的简单的类Chatbot程序,它使用了NLTK和sklearn库:
```python
import random
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import nltk
nltk.download('punkt')
class Chatbot:
def __init__(self, corpus):
self.corpus = corpus
self.tfidf_vectorizer = TfidfVectorizer(tokenizer=self.tokenize, stop_words='english')
self.tfidf_matrix = self.tfidf_vectorizer.fit_transform(self.corpus)
def tokenize(self, text):
return nltk.word_tokenize(text.lower())
def respond(self, user_input):
input_vector = self.tfidf_vectorizer.transform([user_input])
similarity_scores = cosine_similarity(input_vector, self.tfidf_matrix)
response_index = similarity_scores.argsort()[0][-1]
return self.corpus[response_index]
corpus = ['Hello there!',
'How are you doing?',
'What is your favorite color?',
'What do you like to do for fun?',
'Do you have any pets?',
'What is your favorite food?']
chatbot = Chatbot(corpus)
while True:
user_input = input("You: ")
response = chatbot.respond(user_input)
print("Bot:", response)
```
这个Chatbot会根据用户输入从语料库中选择最相似的回复。