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Update config.py
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config.py
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# --- AI 模型設定 ---
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HUGGING_FACE_TOKEN = os.getenv("HUGGING_FACE_TOKEN")
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# [修改] 將模型換回可以在 CPU 上運行的較小模型
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LLM_MODEL = os.getenv("LLM_MODEL", "ckiplab/gpt2-base-chinese")
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# config.py
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import os
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import tempfile
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from datetime import datetime
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# --- 環境設定 ---
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# 使用 HF_HOME 來統一設定 Hugging Face 所有檔案的儲存路徑
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HF_HOME_DIR = "/tmp/huggingface"
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os.environ["HF_HOME"] = HF_HOME_DIR
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os.makedirs(HF_HOME_DIR, exist_ok=True)
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# 設定 Matplotlib 的快取目錄
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os.environ.setdefault("MPLCONFIGDIR", "/tmp/matplotlib")
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# --- LINE Bot 憑證 ---
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CHANNEL_ACCESS_TOKEN = os.getenv("CHANNEL_ACCESS_TOKEN")
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CHANNEL_SECRET = os.getenv("CHANNEL_SECRET")
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# --- Hugging Face Space URL ---
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HF_SPACE_URL = os.getenv("SPACEURL")
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if not HF_SPACE_URL:
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sid = os.getenv("SPACE_ID")
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if sid and "/" in sid:
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author, name = sid.split("/", 1)
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HF_SPACE_URL = f"https://{author.replace('_', '-')}-{name.replace('_', '-')}.hf.space"
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else:
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HF_SPACE_URL = ""
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# --- 靜態檔案目錄 ---
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STATIC_DIR = os.getenv("STATIC_DIR", os.path.join(tempfile.gettempdir(), "static"))
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os.makedirs(STATIC_DIR, exist_ok=True)
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# --- API 端點 ---
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CWA_ALARM_API = "https://app-2.cwa.gov.tw/api/v1/earthquake/alarm/list"
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USGS_API_BASE_URL = "https://earthquake.usgs.gov/fdsnws/event/1/query"
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# --- AI 模型設定 ---
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# 使用較小的模型以符合免費 CPU 硬體資源
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HUGGING_FACE_TOKEN = os.getenv("HUGGING_FACE_TOKEN")
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LLM_MODEL = os.getenv("LLM_MODEL", "ckiplab/gpt2-base-chinese")
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LLM_MAX_NEW_TOKENS = int(os.getenv("LLM_MAX_NEW_TOKENS", "120"))
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LLM_TOP_K = int(os.getenv("LLM_TOP_K", "50"))
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LLM_TEMPERATURE = float(os.getenv("LLM_TEMPERATURE", "0.7"))
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# --- 顯示用當年年份 ---
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CURRENT_YEAR = datetime.now().year
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