| | import datetime
|
| | import logging
|
| | import logging.handlers
|
| | import os
|
| | import sys
|
| |
|
| | import requests
|
| |
|
| | from llava.constants import LOGDIR
|
| |
|
| | server_error_msg = "**NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE.**"
|
| | moderation_msg = "YOUR INPUT VIOLATES OUR CONTENT MODERATION GUIDELINES. PLEASE TRY AGAIN."
|
| |
|
| | handler = None
|
| |
|
| |
|
| | def build_logger(logger_name, logger_filename):
|
| | global handler
|
| |
|
| | formatter = logging.Formatter(
|
| | fmt="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
|
| | datefmt="%Y-%m-%d %H:%M:%S",
|
| | )
|
| |
|
| |
|
| | if not logging.getLogger().handlers:
|
| | logging.basicConfig(level=logging.INFO)
|
| | logging.getLogger().handlers[0].setFormatter(formatter)
|
| |
|
| |
|
| | stdout_logger = logging.getLogger("stdout")
|
| | stdout_logger.setLevel(logging.INFO)
|
| | sl = StreamToLogger(stdout_logger, logging.INFO)
|
| | sys.stdout = sl
|
| |
|
| | stderr_logger = logging.getLogger("stderr")
|
| | stderr_logger.setLevel(logging.ERROR)
|
| | sl = StreamToLogger(stderr_logger, logging.ERROR)
|
| | sys.stderr = sl
|
| |
|
| |
|
| | logger = logging.getLogger(logger_name)
|
| | logger.setLevel(logging.INFO)
|
| |
|
| |
|
| | if handler is None:
|
| | os.makedirs(LOGDIR, exist_ok=True)
|
| | filename = os.path.join(LOGDIR, logger_filename)
|
| | handler = logging.handlers.TimedRotatingFileHandler(
|
| | filename, when='D', utc=True)
|
| | handler.setFormatter(formatter)
|
| |
|
| | for name, item in logging.root.manager.loggerDict.items():
|
| | if isinstance(item, logging.Logger):
|
| | item.addHandler(handler)
|
| |
|
| | return logger
|
| |
|
| |
|
| | class StreamToLogger(object):
|
| | """
|
| | Fake file-like stream object that redirects writes to a logger instance.
|
| | """
|
| | def __init__(self, logger, log_level=logging.INFO):
|
| | self.terminal = sys.stdout
|
| | self.logger = logger
|
| | self.log_level = log_level
|
| | self.linebuf = ''
|
| |
|
| | def __getattr__(self, attr):
|
| | return getattr(self.terminal, attr)
|
| |
|
| | def write(self, buf):
|
| | temp_linebuf = self.linebuf + buf
|
| | self.linebuf = ''
|
| | for line in temp_linebuf.splitlines(True):
|
| |
|
| |
|
| |
|
| |
|
| |
|
| | if line[-1] == '\n':
|
| | self.logger.log(self.log_level, line.rstrip())
|
| | else:
|
| | self.linebuf += line
|
| |
|
| | def flush(self):
|
| | if self.linebuf != '':
|
| | self.logger.log(self.log_level, self.linebuf.rstrip())
|
| | self.linebuf = ''
|
| |
|
| |
|
| | def disable_torch_init():
|
| | """
|
| | Disable the redundant torch default initialization to accelerate model creation.
|
| | """
|
| | import torch
|
| | setattr(torch.nn.Linear, "reset_parameters", lambda self: None)
|
| | setattr(torch.nn.LayerNorm, "reset_parameters", lambda self: None)
|
| |
|
| |
|
| | def violates_moderation(text):
|
| | """
|
| | Check whether the text violates OpenAI moderation API.
|
| | """
|
| | url = "https://api.openai.com/v1/moderations"
|
| | headers = {"Content-Type": "application/json",
|
| | "Authorization": "Bearer " + os.environ["OPENAI_API_KEY"]}
|
| | text = text.replace("\n", "")
|
| | data = "{" + '"input": ' + f'"{text}"' + "}"
|
| | data = data.encode("utf-8")
|
| | try:
|
| | ret = requests.post(url, headers=headers, data=data, timeout=5)
|
| | flagged = ret.json()["results"][0]["flagged"]
|
| | except requests.exceptions.RequestException as e:
|
| | flagged = False
|
| | except KeyError as e:
|
| | flagged = False
|
| |
|
| | return flagged
|
| |
|
| |
|
| | def pretty_print_semaphore(semaphore):
|
| | if semaphore is None:
|
| | return "None"
|
| | return f"Semaphore(value={semaphore._value}, locked={semaphore.locked()})"
|
| |
|