消息推送系统

from flask import Flask, request

app = Flask(__name__)

@app.route('/message', methods=['POST'])

def receive_message():

message = request.json

# 这里添加处理消息的逻辑

return 'Message received', 200

if __name__ == '__main__':

app.run(port=5000)

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from sklearn.feature_extraction.text import CountVectorizer

from sklearn.naive_bayes import MultinomialNB

# 假设我们已经有了一个消息列表和对应的标签

messages = ['Hello world', 'Buy now!', 'Nice to meet you']

labels = [0, 1, 0] # 0表示非垃圾邮件，1表示垃圾邮件

vectorizer = CountVectorizer()

X = vectorizer.fit_transform(messages)

classifier = MultinomialNB()

classifier.fit(X, labels)

# 预测新消息

new_message = ['Limited time offer!']

X_new = vectorizer.transform(new_message)

prediction = classifier.predict(X_new)

print(prediction) # 输出预测结果

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