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""" |
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Global constants. |
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""" |
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from enum import IntEnum |
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import os |
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REPO_PATH = os.path.dirname(os.path.dirname(__file__)) |
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SERVER_ERROR_MSG = ( |
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"**NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE.**" |
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) |
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MODERATION_MSG = "$MODERATION$ YOUR INPUT VIOLATES OUR CONTENT MODERATION GUIDELINES." |
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CONVERSATION_LIMIT_MSG = "YOU HAVE REACHED THE CONVERSATION LENGTH LIMIT. PLEASE CLEAR HISTORY AND START A NEW CONVERSATION." |
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INACTIVE_MSG = "THIS SESSION HAS BEEN INACTIVE FOR TOO LONG. PLEASE REFRESH THIS PAGE." |
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SLOW_MODEL_MSG = "⚠️ Both models will show the responses all at once. Please stay patient as it may take over 30 seconds." |
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RATE_LIMIT_MSG = "**RATE LIMIT OF THIS MODEL IS REACHED. PLEASE COME BACK LATER OR TRY OTHER MODELS.**" |
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INPUT_CHAR_LEN_LIMIT = int(os.getenv("FASTCHAT_INPUT_CHAR_LEN_LIMIT", 12000)) |
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CONVERSATION_TURN_LIMIT = 50 |
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SESSION_EXPIRATION_TIME = 3600 |
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LOGDIR = os.getenv("LOGDIR", ".") |
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CPU_ISA = os.getenv("CPU_ISA") |
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CONTROLLER_HEART_BEAT_EXPIRATION = int( |
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os.getenv("FASTCHAT_CONTROLLER_HEART_BEAT_EXPIRATION", 90) |
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) |
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WORKER_HEART_BEAT_INTERVAL = int(os.getenv("FASTCHAT_WORKER_HEART_BEAT_INTERVAL", 45)) |
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WORKER_API_TIMEOUT = int(os.getenv("FASTCHAT_WORKER_API_TIMEOUT", 100)) |
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WORKER_API_EMBEDDING_BATCH_SIZE = int( |
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os.getenv("FASTCHAT_WORKER_API_EMBEDDING_BATCH_SIZE", 4) |
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) |
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class ErrorCode(IntEnum): |
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""" |
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https://platform.openai.com/docs/guides/error-codes/api-errors |
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""" |
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VALIDATION_TYPE_ERROR = 40001 |
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INVALID_AUTH_KEY = 40101 |
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INCORRECT_AUTH_KEY = 40102 |
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NO_PERMISSION = 40103 |
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INVALID_MODEL = 40301 |
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PARAM_OUT_OF_RANGE = 40302 |
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CONTEXT_OVERFLOW = 40303 |
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RATE_LIMIT = 42901 |
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QUOTA_EXCEEDED = 42902 |
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ENGINE_OVERLOADED = 42903 |
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INTERNAL_ERROR = 50001 |
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CUDA_OUT_OF_MEMORY = 50002 |
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GRADIO_REQUEST_ERROR = 50003 |
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GRADIO_STREAM_UNKNOWN_ERROR = 50004 |
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CONTROLLER_NO_WORKER = 50005 |
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CONTROLLER_WORKER_TIMEOUT = 50006 |
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