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Introduction

Localization is a tool service provided by Ace Data Cloud for AI translation and localization. Through the unified API of Ace Data Cloud, you can quickly integrate Localization using Python to achieve Markdown translation, JSON translation, support for 18 languages, format preservation, and more.

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Prerequisites

  • Have an Ace Data Cloud account and obtain an API Token
  • Python 3.7 or above environment
  • Install the requests library: pip install requests

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Basic Usage

The main endpoint for calling the Localization API is: 
POST https://api.acedata.cloud/localization/translate
This example uses the gpt-4 model.
Available models include: gpt-3.5, gpt-4. Complete Python code example: 
import requests

url = "https://api.acedata.cloud/localization/translate"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Content-Type": "application/json"
}
data = {
    "input": "# 欢迎使用\n\n这是一段示例文本。",
    "locale": "en",
    "extension": "md",
    "model": "gpt-4"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()
print(result)
Please replace YOUR_API_TOKEN with the actual Token you obtained from the Ace Data Cloud platform.

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Response Handling

After a successful call, the API returns data in JSON format. It is recommended to check the HTTP status code: 
if response.status_code == 200:
    result = response.json()
    print("Call succeeded:", result)
else:
    print(f"Call failed, status code: {response.status_code}")
    print(response.text)

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Advanced Usage

For APIs that support asynchronous tasks, you can obtain results via a callback URL: 
data['callback_url'] = 'https://your-server.com/callback'
response = requests.post(url, headers=headers, json=data)
# Results will be pushed to your server through the callback URL

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Error Handling

Common error codes:
Status CodeDescription
401Authentication failed, please check API Token
403Insufficient balance or no access
429Request rate limit exceeded
500Internal server error

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Next Steps