| """Configuration settings for the API""" | |
| import os | |
| from pathlib import Path | |
| from dotenv import load_dotenv | |
| # Load environment variables from .env file | |
| load_dotenv() | |
| # Get project root directory | |
| API_DIR = Path(__file__).parent | |
| PROJECT_ROOT = API_DIR.parent | |
| # Hugging Face configuration | |
| HUGGINGFACE_API_KEY = os.getenv("HUGGINGFACE_API_KEY", "") | |
| HUGGINGFACE_STANCE_MODEL_ID = os.getenv("HUGGINGFACE_STANCE_MODEL_ID") | |
| HUGGINGFACE_LABEL_MODEL_ID = os.getenv("HUGGINGFACE_LABEL_MODEL_ID") | |
| # Use Hugging Face model ID instead of local path | |
| STANCE_MODEL_ID = HUGGINGFACE_STANCE_MODEL_ID | |
| LABEL_MODEL_ID = HUGGINGFACE_LABEL_MODEL_ID | |
| # API configuration | |
| API_TITLE = "NLP Project API" | |
| API_DESCRIPTION = "API for various NLP models including stance detection and more" | |
| API_VERSION = "1.0.0" | |
| # Server configuration | |
| HOST = os.getenv("HOST", "0.0.0.0") # Use 0.0.0.0 for Docker/Spaces | |
| PORT = int(os.getenv("PORT", "7860")) # Default 7860 for Hugging Face Spaces | |
| RELOAD = os.getenv("RELOAD", "False").lower() == "true" # Set to False in production | |
| # CORS configuration | |
| CORS_ORIGINS = ["*"] # In production, specify exact origins | |
| CORS_CREDENTIALS = True | |
| CORS_METHODS = ["*"] | |
| CORS_HEADERS = ["*"] | |