studyrag / app /config.py
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from pydantic_settings import BaseSettings, SettingsConfigDict
from pathlib import Path
class Settings(BaseSettings):
groq_api_key: str
groq_model: str = "llama-3.3-70b-versatile"
embed_model: str = "BAAI/bge-small-en-v1.5"
host: str = "0.0.0.0"
port: int = 7860
upload_dir: Path = Path("uploads")
chroma_dir: Path = Path("chroma_store")
max_file_size: int = 20 * 1024 * 1024
max_scrape_bytes: int = 5 * 1024 * 1024
scrape_timeout_seconds: float = 15.0
similarity_top_k: int = 4
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=False,
extra="ignore",
)
settings = Settings()