|
import os |
|
from pydantic_settings import BaseSettings, SettingsConfigDict |
|
|
|
|
|
class Settings(BaseSettings): |
|
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8") |
|
llm_model_name: str = "HuggingFaceH4/zephyr-7b-beta" |
|
context_window_size: int = 5 |
|
retrieval_top_k: int = 3 |
|
temperature: float = 0.2 |
|
max_length: int = 2048 |
|
hf_token: str = os.getenv("HF_TOKEN") |
|
|
|
if not hf_token: |
|
raise ValueError( |
|
"ERREUR : Le token Hugging Face (HF_TOKEN) n'est pas défini ! Ajoute-le dans les variables d'environnement Hugging Face Spaces." |
|
) |
|
|
|
embedding_model_name: str = "sentence-transformers/sentence-t5-xxl" |
|
|
|
qdrant_url: str = "http://localhost:6333" |
|
parser: str = "openparse" |
|
history_store: dict = {} |
|
session_id: str = "user012025" |
|
user_collection_name: str = "User_Ademe_collection" |
|
doc_collection_name: str = "Doc_Ademe_collection" |
|
provider: str = "hf_api" |
|
|
|
|
|
settings = Settings() |
|
|
