defaultContentLanguage: zh-tw
defaultContentLanguageInSubdir: false
languages:
  zh-tw:
    languageName: "繁體中文"
    weight: 10
    contentDir: content/zh-tw
  en:
    languageName: "English"
    weight: 20
    contentDir: content/en

{{- if (.Param "AITranslated") -}}
  <blockquote class="error">
    {{ T "disclaimer" }}
  </blockquote>
{{- end }}

# en.yaml
disclaimer: This content is translated with AI. 
Please refer to the original Traditional Chinese version (zh-TW) for accuracy.
# zh-tw.yaml
disclaimer: 本內容由 AI 翻譯，如有疑問請以繁體中文原文為準。

def translate(text, source_lang, target_lang="English"):
  function_schema = {
    "name": "translate_text",
    "description": "Translate the input text to the target language.",
    "parameters": {
      "type": "object",
      "properties": {
        "translated_text": {
        "type": "string",
        "description": "The translated text in the target language."
      }
    },
    "required": ["translated_text"]
  }
}

system_prompt = f"""
  You are a precise and faithful translator, working in software and ICdesign territory.
  Translate articles from {source_lang} to {target_lang}.
  Note that the input is in markdown format, so keep following points in mind:
  1. Don't translate the code block, latex formula $$.
  2. Keep the notation like <!--more--> and the image path like 
     ![image](path/to/image.png) unchanged in the same place.
  3. Translate the table content and keep the table shape.
  4. Try your best to keep the format text like strikethrough ~~~~, 
     bold **** and italic ** to the corresponding text.
"""
user_prompt = f"Translate the following text from {source_lang} to {target_lang}:\n{text}"

response = client.chat.completions.create(
  model="gpt-4o",
  messages=[
    {"role": "system", "content": system_prompt},
    {"role": "user", "content": user_prompt},
  ],
  functions=[function_schema],
  function_call={"name": "translate_text"}
)

arguments = response.choices[0].message.function_call.arguments
result = json.loads(arguments)