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from pathlib import Path | |
from PIL import Image | |
# from dotenv import load_dotenv, find_dotenv # pip install python-dotenv==1.0.0 | |
from __version__ import __VERSION__ as APP_VERSION | |
_SCRIPT_PATH = Path(__file__).absolute() | |
PARENT_APP_DIR = _SCRIPT_PATH.parent | |
TEMP_DIR = PARENT_APP_DIR / 'tempDir' | |
ROOT_DIR = PARENT_APP_DIR.parent | |
STATIC_DIR = ROOT_DIR / 'static' | |
# _env_file_path = find_dotenv(str(CODE_DIR / '.env')) # Check if this path is correct | |
# if _env_file_path: | |
# load_dotenv(_env_file_path) | |
ST_CONFIG = { | |
"page_title": "NTT Data - Chat Q&A", | |
# "page_icon": Image.open(STATIC_DIR / "mini_nttdata.jpg"), | |
} | |
OPERATING_MODE = "debug" # debug, preproduction, production | |
REUSE_ANSWERS = False | |
LOAD_INDEX_LOCALLY = False | |
SAVE_INDEX_LOCALLY = False | |
# x$ per 1000 tokens | |
PRICES = { | |
'text-embedding-ada-002': 0.0004, | |
'text-davinci-003': 0.02, | |
'gpt-3': 0.002, | |
'gpt-4': 0.06, # 8K context | |
} | |
SOURCES_IDS = { | |
# "Without source. Only chat": 4, | |
"local files": 1, | |
"urls": 3 | |
} | |
TYPE_IDS = { | |
"MSF Azure OpenAI Service": 1, | |
"OpenAI": 2, | |
} | |
INDEX_IDS = { | |
"FAISS": 1, | |
"Pinecode": 2, | |
} | |