Delete utils.py with huggingface_hub

utils.py

@@ -1,126 +0,0 @@
-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",
-    )
-
-    # Set the format of root handlers
-    if not logging.getLogger().handlers:
-        logging.basicConfig(level=logging.INFO)
-    logging.getLogger().handlers[0].setFormatter(formatter)
-
-    # Redirect stdout and stderr to loggers
-    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
-
-    # Get logger
-    logger = logging.getLogger(logger_name)
-    logger.setLevel(logging.INFO)
-
-    # Add a file handler for all loggers
-    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, encoding='UTF-8')
-        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):
-            # From the io.TextIOWrapper docs:
-            #   On output, if newline is None, any '\n' characters written
-            #   are translated to the system default line separator.
-            # By default sys.stdout.write() expects '\n' newlines and then
-            # translates them so this is still cross platform.
-            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()})"