Files
VRCT/src-python/models/translation/translation_plamo.py

147 lines
5.4 KiB
Python

from langchain_openai import ChatOpenAI
from pydantic import SecretStr
import yaml
from os import path as os_path
_MODELS = [
"plamo-2.0-prime"
]
class PlamoClient:
def __init__(self, api_key: str = "", model: str = "plamo-2.0-prime", root_path: str = None):
self.api_key = api_key
self.base_url = "https://api.platform.preferredai.jp/v1"
self.model = model
# プロンプト設定をYAMLファイルから読み込む
prompt_config = self._load_prompt_config(root_path)
self.supported_languages = prompt_config["supported_languages"]
self.prompt_template = prompt_config["system_prompt"]
self.plamo_llm = ChatOpenAI(
base_url=self.base_url,
model=self.model,
streaming=True,
api_key=SecretStr(self.api_key),
)
def _load_prompt_config(self, root_path: str = None) -> dict:
"""プロンプト設定をYAMLファイルから読み込む"""
prompt_filename = "translation_plamo.yml"
# PyInstallerでビルドされた場合のパス
if root_path and os_path.exists(os_path.join(root_path, "_internal", "prompt", prompt_filename)):
prompt_path = os_path.join(root_path, "_internal", "prompt", prompt_filename)
# src-pythonフォルダから直接実行している場合のパス
elif os_path.exists(os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)):
prompt_path = os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)
# translationフォルダから直接実行している場合のパス
elif os_path.exists(os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)):
prompt_path = os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)
else:
raise FileNotFoundError(f"Prompt file not found: {prompt_filename}")
with open(prompt_path, "r", encoding="utf-8") as f:
return yaml.safe_load(f)
def getListModels(self) -> list[str]:
return _MODELS
def getAuthKey(self) -> str:
"""現在のAuthKeyを取得する"""
return self.api_key
def getModel(self) -> str:
"""現在のモデルを取得する"""
return self.model
def setAuthKey(self, api_key: str) -> bool:
"""AuthKeyを設定し、成功したかどうかを返す"""
try:
self.api_key = api_key
self.plamo_llm = ChatOpenAI(
base_url=self.base_url,
model=self.model,
streaming=True,
api_key=SecretStr(self.api_key),
)
return True
except Exception as e:
return False
def setModel(self, model: str) -> bool:
"""モデルを設定し、成功したかどうかを返す"""
if model not in _MODELS:
return False
try:
self.model = model
self.plamo_llm = ChatOpenAI(
base_url=self.base_url,
model=self.model,
streaming=True,
api_key=SecretStr(self.api_key),
)
return True
except Exception as e:
print(f"Error setting model: {e}")
return False
def translate(self, text: str, input_lang: str, output_lang: str) -> str:
messages = [
{
"role": "system",
"content": self.prompt_template.format(
supported_languages=self.supported_languages,
input_lang=input_lang,
output_lang=output_lang
),
},
{"role": "user", "content": text},
]
output = ""
for chunk in self.plamo_llm.stream(messages):
if isinstance(chunk.content, str):
output += chunk.content
elif isinstance(chunk.content, list):
for item in chunk.content:
if isinstance(item, str):
output += item
elif isinstance(item, dict):
if "content" in item and isinstance(item["content"], str):
output += item["content"]
return output[:-1]
def checkAuthKey(self) -> bool:
try:
self.setModel(self.model)
self.translate("Hello World", input_lang="English", output_lang="Japanese")
return True
except Exception as e:
print(f"Error checking AuthKey: {e}")
return False
if __name__ == "__main__":
AUTH_KEY = "AUTH_KEY"
text = """
毎朝コーヒーを入れるのがささやかな楽しみになってる
"""
input_lang = "Japanese"
output_lang = "English"
plamo_client = PlamoClient(api_key=AUTH_KEY)
print("model list:", plamo_client.getListModels())
print("AuthKey:", plamo_client.getAuthKey())
print("Model:", plamo_client.getModel())
print(f"set model: {plamo_client.setModel('plamo-2.0-prime')}")
print(f"set AuthKey: {plamo_client.setAuthKey(AUTH_KEY)}")
print(f"check AuthKey: {plamo_client.checkAuthKey()}")
try:
translated_text = plamo_client.translate(text, input_lang, output_lang)
print(translated_text)
except Exception:
print("Invalid API key. Please check your credentials.")