To keep the HTML structure intact while translating "Effectively Analyze PDFs with GPT-4o API" into simplified Chinese, you can use the following code snippet: ```html 有效地使用GPT-4o API分析PDF文件 ``` This HTML snippet ensures that the translated Chinese text ("有效地使用GPT-4o API分析PDF文件") is correctly marked as simplified Chinese (`zh-CN`) within the HTML document.

在使用GPT-4o API分析PDF文件时，用户经常会面临几个问题和挑战。

Sure, here is the translation of the text into simplified Chinese while keeping the HTML structure: ```html

在Web GUI（chatgpt.com）中，用户只需拖放PDF并在提示中提出问题，但是使用API则需要您多做一些额外步骤：

1. Sure, here's the translation of the provided text into simplified Chinese while keeping the HTML structure: ```html 创建（或获取）Assistant对象。Assistant对象必须启用工具下的文件搜索功能。请注意，您无法启用JSON模式，因为它对于“file_search”不可用（JSON模式仅适用于“function”工具）。 ```
2. Sure, here's the translation in simplified Chinese within an HTML structure: ```html 上传文件 — 一个PDF文件，或其他支持的格式。您需要保存文件的ID，以便稍后创建线程时传递它。请注意，.pdf将被处理为文本文档，而不是图像（因此成本较低）。 ```
3. Sure, here's the HTML structure with the translated text in simplified Chinese: ```html

   创建一个主题，向其添加一个包含文件附件和提示数据的“用户”消息，并将助理分配给它。

   ``` In simplified Chinese, the translated text is: "创建一个主题，向其添加一个包含文件附件和提示数据的“用户”消息，并将助理分配给它。" This HTML structure ensures the text is displayed correctly and maintains proper encoding for Chinese characters.
4. Sure, here's the translation in simplified Chinese while keeping the HTML structure: ```html 运行线程。我们将以轮询模式（而非流模式）运行它，因此该函数仅在运行生命周期结束后才会返回（无论是完成、失败、被取消或过期）。 ``` This HTML structure preserves the original formatting and text content while presenting the translation in simplified Chinese.

Certainly! Here's the translated text in simplified Chinese, keeping the HTML structure: ```html 5. 如果您想获得 JSON 输出，您需要手动解析 GPT-4o 的响应。模型会返回类似以下文本的内容，因此您需要使用正则表达式（或类似方法）提取有效的 JSON 输出。 ``` This HTML code maintains the original structure while presenting the translated text in simplified Chinese.

Of course, here's the total purchase order amount:
```json
{
  "price": 1234.56
}
```

To translate the English text to simplified Chinese while keeping the HTML structure intact, you can use the following: ```html 6. （可选）删除您上传的文件。OpenAI API文档提到每个文件的大小可以高达512MB，并且所有文件（在一个组织中）的总大小必须低于100GB。 ``` In this translation: - **（可选）** means "(optional)". - **删除您上传的文件** means "delete the file(s) you have uploaded". - **OpenAI API文档** translates to "OpenAI API documentation". - **每个文件的大小可以高达512MB** translates to "each file can be up to 512MB in size". - **所有文件（在一个组织中）的总大小必须低于100GB** means "all files together (in an organization) have to be below 100GB".

Sure, here is the translation of "The code" into simplified Chinese while keeping the HTML structure intact: ```html 代码 ``` In this example: - `` is used to mark up the text as Chinese. - `lang="zh-CN"` attribute specifies the language as simplified Chinese. - `代码` is the translated text for "The code".

To translate the English text to simplified Chinese while keeping the HTML structure intact, you can use the following: ```html

这是实现此功能的Python代码，使用版本1.33.0的openai库（助手仍处于Beta版）：

`) element. Just replace the English text with the translated Chinese text within the `

` tags to maintain the HTML structure.

from openai import OpenAI # Version 1.33.0
from openai.types.beta.threads.message_create_params import Attachment, AttachmentToolFileSearch
import json

MY_OPENAI_KEY = 'sk-...' # Add your OpenAI API key
client = OpenAI(api_key=MY_OPENAI_KEY)

# Upload your pdf(s) to the OpenAI API
file = client.files.create(
    file=open('my_file.pdf', 'rb'),
    purpose='assistants'
)

# Create thread
thread = client.beta.threads.create()

# Create an Assistant (or fetch it if it was already created). It has to have
# "file_search" tool enabled to attach files when prompting it.
def get_assistant():
    for assistant in client.beta.assistants.list():
        if assistant.name == 'My Assistant Name':
            return assistant

    # No Assistant found, create a new one
    return client.beta.assistants.create(
        model='gpt-4o',
        description='You are a PDF retrieval assistant.',
        instructions="You are a helpful assistant designed to output only JSON. Find information from the text and files provided.",
        tools=[{"type": "file_search"}],
        # response_format={"type": "json_object"}, # Isn't possible with "file_search"
        name='My Assistant Name',
    )

# Add your prompt here
prompt = "What's the total price of the purchase order in PDF? Output in JSON format, like:\n{'price': 123.45}"
client.beta.threads.messages.create(
    thread_id = thread.id,
    role='user',
    content=prompt,
    attachments=[Attachment(file_id=file.id, tools=[AttachmentToolFileSearch(type='file_search')])]
)

# Run the created thread with the assistant. It will wait until the message is processed.
run = client.beta.threads.runs.create_and_poll(
    thread_id=thread.id,
    assistant_id=get_assistant().id,
    timeout=300, # 5 minutes
    # response_format={"type": "json_object"}, # Isn't possible
)

# Eg. issue with openai server
if run.status != "completed":
    raise Exception('Run failed:', run.status)

# Fetch outputs of the thread
messages_cursor = client.beta.threads.messages.list(thread_id=thread.id)
messages = [message for message in messages_cursor]

message = messages[0] # This is the output from the Assistant (second message is your message)
assert message.content[0].type == "text"

# Output text of the Assistant
res_txt = message.content[0].text.value

# Because the Assistant can't produce JSON (as we're using "file_search"),
# it will likely output text + some JSON code. We can parse and extract just
# the JSON part, and ignore everything else (eg. gpt4o will start with something
# similar to "Of course, here's the parsed text: {useful_JSON_here}")
if res_txt.startswith('```json'):
    res_txt = res_txt[6:]
if res_txt.endswith('```'):
    res_txt = res_txt[:-3]
res_txt = res_txt[:res_txt.rfind('}')+1]
res_txt = res_txt[res_txt.find('{'):]
res_txt.strip()

# Parse the JSON output
data = json.loads(res_txt)

print(data)

# Delete the file(s) afterward to preserve space (max 100gb/company)
delete_ok = client.files.delete(file.id)