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