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Running
| """ | |
| Global constants. | |
| """ | |
| from enum import IntEnum | |
| import os | |
| REPO_PATH = os.path.dirname(os.path.dirname(__file__)) | |
| ##### 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 = "⚠️ Both models will show the responses all at once. Please stay patient as it may take over 30 seconds." | |
| RATE_LIMIT_MSG = "**RATE LIMIT OF THIS MODEL IS REACHED. PLEASE COME BACK LATER OR USE BATTLE MODE (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", 24000) | |
| ) | |
| # 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", 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 | |