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translator.py
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import autogen
from googletrans import Translator
# 配置 AI 助手
config_list = [
{
"model": "gpt-4",
"api_key": "your-api-key-here"
}
]
# 创建 Agent
user_proxy = autogen.UserProxyAgent(
name="User_proxy",
system_message="A human user who needs translation services.",
human_input_mode="TERMINATE",
max_consecutive_auto_reply=10,
)
translator_agent = autogen.AssistantAgent(
name="Translator",
llm_config={
"config_list": config_list,
},
system_message="You are a translator agent. You use Google Translate to translate text.",
)
polisher_agent = autogen.AssistantAgent(
name="Polisher",
llm_config={
"config_list": config_list,
},
system_message="You are a language polisher. You improve the quality and fluency of translations.",
)
custom_agent = autogen.AssistantAgent(
name="Customizer",
llm_config={
"config_list": config_list,
},
system_message="You are a customization agent. You adapt translations to user preferences and habits.",
)
# 谷歌翻译函数
def google_translate(text, target_lang='en'):
translator = Translator()
result = translator.translate(text, dest=target_lang)
return result.text
# 翻译流程
def translation_process(text, target_lang='en'):
# 步骤1: 谷歌翻译
translated_text = google_translate(text, target_lang)
# 步骤2: 润色
polisher_agent.initiate_chat(
translator_agent,
message=f"Please polish this translation: {translated_text}"
)
polished_text = polisher_agent.last_message()["content"]
# 步骤3: 用户习惯修改
custom_agent.initiate_chat(
polisher_agent,
message=f"Please customize this translation based on user preferences: {polished_text}"
)
final_text = custom_agent.last_message()["content"]
return final_text
def main():
user_proxy.initiate_chat(
translator_agent,
message="Translate the following text to English: '你好,世界!'"
)
original_text = "你好,世界!"
result = translation_process(original_text)
print(f"Original: {original_text}")
print(f"Final translation: {result}")
if __name__ == "__main__":
main()