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import argparse
import logging
import os
import sys
from llm_studio.app_utils import hugging_face_utils
from llm_studio.app_utils.utils import hf_repo_friendly_name
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="")
parser.add_argument(
"-p",
"--path_to_experiment",
required=True,
help="Path to the experiment data",
default=argparse.SUPPRESS,
)
parser.add_argument(
"-d",
"--device",
required=False,
help="'cpu' or 'cuda:0', if the GPU device id is 0",
default="cuda:0",
)
parser.add_argument(
"-a",
"--api_key",
required=False,
help="Hugging Face API Key",
default=argparse.SUPPRESS,
)
parser.add_argument(
"-u",
"--user_id",
required=False,
help="Hugging Face User ID",
default=argparse.SUPPRESS,
)
parser.add_argument(
"-m",
"--model_name",
required=False,
help="Hugging Face Model Name",
default=argparse.SUPPRESS,
)
parser.add_argument(
"-s",
"--safe_serialization",
required=False,
help="A flag indicating whether safe serialization should be used.",
default=True,
)
parser_args, unknown = parser.parse_known_args(sys.argv)
path_to_experiment = parser_args.path_to_experiment
device = parser_args.device
safe_serialization = parser_args.safe_serialization
api_key = getattr(parser_args, "api_key", "")
user_id = getattr(parser_args, "user_id", "")
model_name = getattr(parser_args, "model_name", "")
# If the model_name argument is not provided,
# the function derives a model name from the last folder name
if model_name == "":
path_to_experiment = path_to_experiment.rstrip("/")
model_name = hf_repo_friendly_name(os.path.basename(path_to_experiment))
try:
hugging_face_utils.publish_model_to_hugging_face(
path_to_experiment=path_to_experiment,
device=device,
api_key=api_key,
user_id=user_id,
model_name=model_name,
safe_serialization=safe_serialization,
)
except Exception:
logging.error("Exception occurred during the run:", exc_info=True)
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