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.")