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""" | |
Global constants. | |
""" | |
from enum import IntEnum | |
import os | |
REPO_PATH = os.path.dirname(os.path.dirname(__file__)) | |
# Survey Link URL (to be removed) #00729c | |
SURVEY_LINK = """""" | |
# SURVEY_LINK = "" | |
# For the gradio web server | |
SERVER_ERROR_MSG = ( | |
"**NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE.**" | |
) | |
TEXT_MODERATION_MSG = ( | |
"$MODERATION$ YOUR TEXT VIOLATES OUR CONTENT MODERATION GUIDELINES." | |
) | |
IMAGE_MODERATION_MSG = ( | |
"$MODERATION$ YOUR IMAGE VIOLATES OUR CONTENT MODERATION GUIDELINES." | |
) | |
MODERATION_MSG = "$MODERATION$ YOUR INPUT VIOLATES OUR CONTENT MODERATION GUIDELINES." | |
CONVERSATION_LIMIT_MSG = "YOU HAVE REACHED THE CONVERSATION LENGTH LIMIT. PLEASE CLEAR HISTORY AND START A NEW CONVERSATION." | |
INACTIVE_MSG = "THIS SESSION HAS BEEN INACTIVE FOR TOO LONG. PLEASE REFRESH THIS PAGE." | |
SLOW_MODEL_MSG = ( | |
"⚠️ Models are thinking. Please stay patient as it may take over a minute." | |
) | |
RATE_LIMIT_MSG = "**RATE LIMIT OF THIS MODEL IS REACHED. PLEASE COME BACK LATER OR USE <span style='color: red; font-weight: bold;'>[BATTLE MODE](https://lmarena.ai)</span> (the 1st tab).**" | |
# Maximum input length | |
INPUT_CHAR_LEN_LIMIT = int(os.getenv("FASTCHAT_INPUT_CHAR_LEN_LIMIT", 12000)) | |
BLIND_MODE_INPUT_CHAR_LEN_LIMIT = int( | |
os.getenv("FASTCHAT_BLIND_MODE_INPUT_CHAR_LEN_LIMIT", 30000) | |
) | |
# Maximum conversation turns | |
CONVERSATION_TURN_LIMIT = 50 | |
# Session expiration time | |
SESSION_EXPIRATION_TIME = 3600 | |
# The output dir of log files | |
LOGDIR = os.getenv("LOGDIR", ".") | |
# CPU Instruction Set Architecture | |
CPU_ISA = os.getenv("CPU_ISA") | |
# For the controller and workers (could be overwritten through ENV variables.) | |
CONTROLLER_HEART_BEAT_EXPIRATION = int( | |
os.getenv("FASTCHAT_CONTROLLER_HEART_BEAT_EXPIRATION", 90) | |
) | |
WORKER_HEART_BEAT_INTERVAL = int( | |
os.getenv("FASTCHAT_WORKER_HEART_BEAT_INTERVAL", 45)) | |
WORKER_API_TIMEOUT = int(os.getenv("FASTCHAT_WORKER_API_TIMEOUT", 1000)) | |
# WORKER_API_TIMEOUT = int(os.getenv("FASTCHAT_WORKER_API_TIMEOUT", 100)) | |
WORKER_API_EMBEDDING_BATCH_SIZE = int( | |
os.getenv("FASTCHAT_WORKER_API_EMBEDDING_BATCH_SIZE", 4) | |
) | |
class ErrorCode(IntEnum): | |
""" | |
https://platform.openai.com/docs/guides/error-codes/api-errors | |
""" | |
VALIDATION_TYPE_ERROR = 40001 | |
INVALID_AUTH_KEY = 40101 | |
INCORRECT_AUTH_KEY = 40102 | |
NO_PERMISSION = 40103 | |
INVALID_MODEL = 40301 | |
PARAM_OUT_OF_RANGE = 40302 | |
CONTEXT_OVERFLOW = 40303 | |
RATE_LIMIT = 42901 | |
QUOTA_EXCEEDED = 42902 | |
ENGINE_OVERLOADED = 42903 | |
INTERNAL_ERROR = 50001 | |
CUDA_OUT_OF_MEMORY = 50002 | |
GRADIO_REQUEST_ERROR = 50003 | |
GRADIO_STREAM_UNKNOWN_ERROR = 50004 | |
CONTROLLER_NO_WORKER = 50005 | |
CONTROLLER_WORKER_TIMEOUT = 50006 | |