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508天前# 与聊天机器人交互
while True:
message = input("You: ")
if message == "quit":
break
# 预处理消息
message_words = tokenize_words(message)
message_words = lemmatize_words(message_words)
# 将消息转换为词袋向量
message_bag = bag_of_words(message_words, words)
# 预测意图
results = model.predict(np.array([message_bag]))[0]
results_index = np.argmax(results)
tag = classes[results_index]
# 随机选择一个回答
if results[results_index] > 0.7:
for intent in intents['intents']:
if intent['tag'] == tag:
print("Bot:", random.choice(intent['responses']))
break
else:
print("Bot: Sorry, I didn't understand that. Please try again.")高级设计师
by: Python自学 发表于：2023-07-12 02:39:09 顶(0) | 踩(0) 回复
{
"intents": [
{
"tag": "greeting",
"patterns": ["Hi", "Hello", "Hey"],
"responses": ["Hello, how can I help you?", "Hi there, how can I assist you?", "Hey, how may I help you?"]
},
{
"tag": "goodbye",
"patterns": ["Bye", "See you later", "Goodbye"],
"responses": ["Goodbye, have a nice day!", "See you later, take care.", "Bye, have a good one!"]
}
]
}
高级设计师
by: Python自学 发表于：2023-07-12 02:38:02 顶(1) | 踩(1) 回复
import nltk from nltk.stem import WordNetLemmatizer lemmatizer = WordNetLemmatizer() def tokenize_words(text): return nltk.word_tokenize(text) def lemmatize_words(words): return [lemmatizer.lemmatize(word.lower()) for word in words]回复评论