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HomeBackend DevelopmentPython TutorialUse Python to write and implement a chatbot with artificial intelligence (including code and steps)

Use Python to write and implement a chatbot with artificial intelligence (including code and steps)

聊天机器人是一种人工智能,它通过应用程序或消息来模拟与用户的对话。本文我们将使用Pytho的chatterbot库来实现聊天机器人。该库生成对用户输入的自动响应。响应基于库中实现的机器学习算法。

机器学习算法使聊天机器人在收集用户响应时更容易随着时间的推移改进和优化响应。

这些功能使聊天机器人更容易通过不同的移动应用程序和网站进行对话。它会保存来自用户的数据并随着时间的推移,聊天机器人响应的准确性会提高。

创建功能聊天机器人的步骤:

1、创建一个聊天机器人:这是使用create_bot函数完成的。该函数将名称bot作为输入参数。此函数返回一个对象,该对象bo在程序中进一步使用。在例子中,我们将其设置为Jordan。

2、训练聊天机器人:这是使用train_all_data函数完成的。我们正在训练聊天机器人的数据显示在这里。此函数的输入参数bot.

3、使用自定义数据训练:我们使用custom_train函数使用自定义数据训练聊天机器人。

这个函数的第一个输入参数是它bot本身。

第二个参数是我们要训练的自定义数据。此自定义数据采用Python的形式list。列表的第一个元素是问题,第二个元素是答案。您可以根据需要使用尽可能多的特定自定义数据来训练聊天机器人。

4、启动聊天机器人:使用start_chatbot函数启动聊天机器人。这个函数的输入参数是bot我们要启动的。

Ai聊天机器人代码部分

def create_bot(name):
from chatterbot import ChatBot
Bot=ChatBot(name=name,
read_only=False,
logic_adapters=["chatterbot.logic.BestMatch"],
storage_adapter="chatterbot.storage.SQLStorageAdapter")
return Bot
def train_all_data(Bot):
from chatterbot.trainers import ChatterBotCorpusTrainer
corpus_trainer=ChatterBotCorpusTrainer(Bot)
corpus_trainer.train("chatterbot.corpus.english")
def custom_train(Bot,conversation):
from chatterbot.trainers import ListTrainer
trainer=ListTrainer(Bot)
trainer.train(conversation)
def start_chatbot(Bot):
print('\033c')
print("Hello,I am Jordan.How can I help you")
bye_list=["bye jordan","bye","good bye"]
while(True):
user_input=input("me:")
if user_input.lower()in bye_list:
print("Jordan:Good bye and have a blessed day!")
break
response=Bot.get_response(user_input)
print("Jordan:",response)

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