from lxml import etree
# XML文档示例
xml_doc = """
<root>
<book>
<title>Python编程指南</title>
<author>张三</author>
</book>
<book>
<title>Python高级编程</title>
<author>李四</author>
</book>
</root>
"""
# 创建ElementTree对象并解析XML文档
root = etree.fromstring(xml_doc)
# 使用XPath定位元素并打印内容
books = root.xpath('//book')
for book in books:
title = book.xpath('title/text()')[0]
author = book.xpath('author/text()')[0]
print(f"书名:{title},作者:{author}")
# HTML文档示例
html_doc = """
<html>
<body>
<h1>标题</h1>
<p>段落1</p>
<p>段落2</p>
</body>
</html>
"""
# 创建HTML解析器并解析HTML文档
parser = etree.HTMLParser()
root = etree.fromstring(html_doc, parser)
# 遍历HTML元素并打印内容
for element in root.iter():
print(element.tag, element.text)
from lxml import html
import requests
# 发送HTTP请求获取网页内容
response = requests.get('https://example.com')
html_content = response.content
# 使用lxml解析HTML内容并提取信息
tree = html.fromstring(html_content)
title = tree.xpath('//title/text()')[0]
paragraphs = tree.xpath('//p/text()')
print('标题:', title)
print('段落:')
for p in paragraphs:
print(p)
作者:Gengze Zhou, Yicong Hong, Qi Wu 单位:阿德莱德大学,澳大利亚国立大学 论文链接: NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models (https://ojs.aaai.org/index.p…
四、将 AI 项目容器化:示例实践 - 完整的图像分类与 API 服务
让我们通过一个更完整的 AI 项目示例,展示如何将 AI 项目容器化。我们以一个基于 TensorFlow 的图像分类模型为例,演示如何将训练、推理、以及 API 服务过程容器化。
4.1 创建 …