Create libs/ai-services/ with FastAPI app providing: - POST /avm/predict — XGBoost-backed property price prediction (heuristic fallback) - POST /avm/extract-features — Vietnamese NLP feature extraction from listing text - POST /moderation/check — content moderation with rule-based flagging - GET /health — health check endpoint Includes Dockerfile (Python 3.12), docker-compose integration, Pydantic models, and 9 passing tests covering all endpoints. Co-Authored-By: Paperclip <noreply@paperclip.ing>
14 lines
270 B
Python
14 lines
270 B
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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app_name: str = "Goodgo AI Services"
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debug: bool = False
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model_path: str = "/app/models"
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log_level: str = "info"
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model_config = {"env_prefix": "AI_"}
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settings = Settings()
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