Download config.py from MCP-1st-Birthday/AI-Digital-Library-Assistant: direct link, hf CLI and curl.
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https://huggingface.co/spaces/MCP-1st-Birthday/AI-Digital-Library-Assistant/resolve/main/config.py
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2.44 kB
| import os | |
| from typing import Optional | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| class Config: | |
| # API Keys | |
| NEBIUS_API_KEY: Optional[str] = os.getenv("NEBIUS_API_KEY") | |
| MISTRAL_API_KEY: Optional[str] = os.getenv("MISTRAL_API_KEY") | |
| HUGGINGFACE_API_KEY: Optional[str] = os.getenv("HUGGINGFACE_API_KEY", os.getenv("HF_TOKEN")) | |
| OPENAI_API_KEY: Optional[str] = os.getenv("OPENAI_API_KEY") | |
| ANTHROPIC_API_KEY: Optional[str] = os.getenv("ANTHROPIC_API_KEY") | |
| # NEBIUS Configuration (OpenAI OSS models) | |
| NEBIUS_BASE_URL: str = os.getenv("NEBIUS_BASE_URL", "https://api.studio.nebius.com/v1/") | |
| NEBIUS_MODEL: str = os.getenv("NEBIUS_MODEL", "meta-llama/Llama-3.3-70B-Instruct") | |
| # Model Configuration | |
| # Using OpenAI managed embeddings for performance/quality | |
| EMBEDDING_MODEL: str = os.getenv("EMBEDDING_MODEL", "text-embedding-3-small") | |
| MISTRAL_MODEL: str = os.getenv("MISTRAL_MODEL", "mistral-large-2407") | |
| OPENAI_MODEL: str = os.getenv("OPENAI_MODEL", "gpt-5.1-chat-latest") | |
| FAST_MODEL: str = os.getenv("FAST_MODEL", "gpt-5-mini") | |
| # Vector Store Configuration | |
| DATA_DIR: str = os.getenv("DATA_DIR", "./data") | |
| VECTOR_STORE_PATH: str = os.getenv("VECTOR_STORE_PATH", "./data/vector_store") | |
| DOCUMENT_STORE_PATH: str = os.getenv("DOCUMENT_STORE_PATH", "./data/documents") | |
| INDEX_NAME: str = os.getenv("INDEX_NAME", "content_index") | |
| # Processing Configuration | |
| CHUNK_SIZE: int = int(os.getenv("CHUNK_SIZE", "500")) | |
| CHUNK_OVERLAP: int = int(os.getenv("CHUNK_OVERLAP", "50")) | |
| MAX_CONCURRENT_REQUESTS: int = int(os.getenv("MAX_CONCURRENT_REQUESTS", "5")) | |
| # Search Configuration | |
| DEFAULT_TOP_K: int = int(os.getenv("DEFAULT_TOP_K", "5")) | |
| SIMILARITY_THRESHOLD: float = float(os.getenv("SIMILARITY_THRESHOLD", "0.3")) | |
| # OCR Configuration | |
| TESSERACT_PATH: Optional[str] = os.getenv("TESSERACT_PATH") | |
| OCR_LANGUAGE: str = os.getenv("OCR_LANGUAGE", "eng") | |
| # ElevenLabs Configuration | |
| ELEVENLABS_API_KEY: Optional[str] = os.getenv("ELEVENLABS_API_KEY") | |
| ELEVENLABS_AGENT_ID: Optional[str] = os.getenv("ELEVENLABS_AGENT_ID") | |
| ELEVENLABS_VOICE_MODEL: str = os.getenv("ELEVENLABS_VOICE_MODEL", "Rachel") | |
| # App Configuration | |
| HOST: str = os.getenv("HOST", "0.0.0.0") | |
| PORT: int = int(os.getenv("PORT", "7860")) | |
| DEBUG: bool = os.getenv("DEBUG", "False").lower() == "true" | |
| config = Config() |