open-webui/backend/config.py
2024-02-11 02:15:54 -08:00

139 lines
3.9 KiB
Python

import os
import chromadb
from chromadb import Settings
from secrets import token_bytes
from base64 import b64encode
from constants import ERROR_MESSAGES
from pathlib import Path
try:
from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv("../.env"))
except ImportError:
print("dotenv not installed, skipping...")
####################################
# ENV (dev,test,prod)
####################################
ENV = os.environ.get("ENV", "dev")
####################################
# DATA/FRONTEND BUILD DIR
####################################
DATA_DIR = str(Path(os.getenv("DATA_DIR", "./data")).resolve())
FRONTEND_BUILD_DIR = str(Path(os.getenv("FRONTEND_BUILD_DIR", "../build")))
####################################
# File Upload DIR
####################################
UPLOAD_DIR = f"{DATA_DIR}/uploads"
Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
####################################
# Cache DIR
####################################
CACHE_DIR = f"{DATA_DIR}/cache"
Path(CACHE_DIR).mkdir(parents=True, exist_ok=True)
####################################
# OLLAMA_API_BASE_URL
####################################
OLLAMA_API_BASE_URL = os.environ.get(
"OLLAMA_API_BASE_URL", "http://localhost:11434/api"
)
if ENV == "prod":
if OLLAMA_API_BASE_URL == "/ollama/api":
OLLAMA_API_BASE_URL = "http://host.docker.internal:11434/api"
####################################
# OPENAI_API
####################################
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
if OPENAI_API_BASE_URL == "":
OPENAI_API_BASE_URL = "https://api.openai.com/v1"
####################################
# WEBUI
####################################
ENABLE_SIGNUP = os.environ.get("ENABLE_SIGNUP", True)
DEFAULT_MODELS = os.environ.get("DEFAULT_MODELS", None)
DEFAULT_PROMPT_SUGGESTIONS = os.environ.get(
"DEFAULT_PROMPT_SUGGESTIONS",
[
{
"title": ["Help me study", "vocabulary for a college entrance exam"],
"content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.",
},
{
"title": ["Give me ideas", "for what to do with my kids' art"],
"content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.",
},
{
"title": ["Tell me a fun fact", "about the Roman Empire"],
"content": "Tell me a random fun fact about the Roman Empire",
},
{
"title": ["Show me a code snippet", "of a website's sticky header"],
"content": "Show me a code snippet of a website's sticky header in CSS and JavaScript.",
},
],
)
####################################
# WEBUI_VERSION
####################################
WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.92")
####################################
# WEBUI_AUTH (Required for security)
####################################
WEBUI_AUTH = True
####################################
# WEBUI_SECRET_KEY
####################################
WEBUI_SECRET_KEY = os.environ.get(
"WEBUI_SECRET_KEY",
os.environ.get(
"WEBUI_JWT_SECRET_KEY", "t0p-s3cr3t"
), # DEPRECATED: remove at next major version
)
if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND)
####################################
# RAG
####################################
CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
EMBED_MODEL = "all-MiniLM-L6-v2"
CHROMA_CLIENT = chromadb.PersistentClient(
path=CHROMA_DATA_PATH,
settings=Settings(allow_reset=True, anonymized_telemetry=False),
)
CHUNK_SIZE = 1500
CHUNK_OVERLAP = 100
####################################
# Transcribe
####################################
WHISPER_MODEL_NAME = "base"