怎么用chat gpt读取word文档

使用ChatGPT来读取Word文档并生成一篇3000字至4000字的文章可以分为以下几个步骤：

步骤1: 导入所需的库和模块

“`python

import docx

import openai

import re

import time

“`

步骤2: 定义读取Word文档函数

“`python

def read_word_document(filename):

document = docx.Document(filename)

paragraphs = []

for paragraph in document.paragraphs:

text = paragraph.text.strip()

if text: # 只保留非空段落

paragraphs.append(text)

return paragraphs

“`

步骤3: 将文档内容分段生成标题和正文

“`python

def generate_article(document, article_length=3000):

article = “”

remaining_length = article_length

# 填充标题

def add_header(title):

nonlocal remaining_length

header = f”

{title}

”

remaining_length -= len(header)

return header

# 填充正文

def add_paragraph(paragraph):

nonlocal remaining_length

paragraph = f”{paragraph}”

remaining_length -= len(paragraph)

return paragraph

# 循环处理每个段落

for paragraph in document:

if remaining_length <= 0:

break

# 生成标题

header = add_header(paragraph)

# 使用ChatGPT生成正文

prompt = f”{header}\n{article}”

response = openai.Completion.create(

engine=”text-davinci-002″,

prompt=prompt,

max_tokens=remaining_length,

temperature=0.7,

top_p=1.0,

frequency_penalty=0.0,

presence_penalty=0.0,

n=1,

stop=”\n”

)

paragraph = response.choices[0].text.strip()

# 添加段落内容到文章中

article = add_paragraph(paragraph)

# 如果还有剩余字数，继续使用ChatGPT生成剩余内容

while remaining_length > 0:

prompt = f”{article}”

response = openai.Completion.create(

engine=”text-davinci-002″,

prompt=prompt,

max_tokens=remaining_length,

temperature=0.7,

top_p=1.0,

frequency_penalty=0.0,

presence_penalty=0.0,

n=1,

stop=”\n”

)

paragraph = response.choices[0].text.strip()

article += add_paragraph(paragraph)

return article

“`

步骤4: 执行主程序，并将生成的文章保存为HTML文件

“`python

if __name__ == ‘__main__’:

# 替换成你的API密钥

openai.api_key = ‘YOUR_API_KEY’

# 替换成你的Word文档路径

filename = ‘path/to/your/document.docx’

# 读取Word文档

document = read_word_document(filename)

# 生成文章

article = generate_article(document, article_length=4000)

# 保存为HTML文件

with open(‘generated_article.html’, ‘w’, encoding=’utf-8′) as file:

file.write(article)

“`

请注意，上述代码仅提供了一个基本框架，具体的生成效果可能会根据所使用的ChatGPT模型、API调用的限制或Word文档的内容而有所不同。你可能需要根据具体情况进行调整和优化。