Karl/bazarr-ai-sub-generator
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Karl 2024-07-23 15:10:58 +00:00
parent cf3e4acc43
commit fc1e05fce1
1 changed files with 19 additions and 21 deletions
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38
bazarr-ai-sub-generator/cli.py
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@ -2,8 +2,6 @@ import argparse
from faster_whisper import available_models
from utils.constants import LANGUAGE_CODES
from main import process
from utils.convert import str2bool, str2timeinterval
def main():
"""
@ -12,15 +10,20 @@ def main():
Parses command line arguments, processes the inputs using the specified options,
and performs transcription or translation based on the specified task.
"""
# Create an ArgumentParser object with a specific formatter for default values
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
# Add argument for selecting the Whisper model
parser.add_argument(
"--model",
default="small",
choices=available_models(),
help="name of the Whisper model to use",
)
# Add argument for specifying the device to use (CPU, CUDA, or auto-detect)
parser.add_argument(
"--device",
type=str,
@ -28,35 +31,24 @@ def main():
choices=["cpu", "cuda", "auto"],
help='Device to use for computation ("cpu", "cuda", "auto")',
)
# parser.add_argument(
# "--compute_type",
# type=str,
# default="default",
# choices=[
# "int8",
# "int8_float32",
# "int8_float16",
# "int8_bfloat16",
# "int16",
# "float16",
# "bfloat16",
# "float32",
# ],
# help="Type to use for computation. \
# See https://opennmt.net/CTranslate2/quantization.html.",
# )
# Add argument for processing a single file
parser.add_argument(
"--file",
type=str,
default=None,
help="Process a single file"
)
# Add argument for processing all videos in a folder
parser.add_argument(
"--folder",
type=str,
default=None,
help="Process all videos in folder"
)
# Add argument for specifying the task: transcribe or translate
parser.add_argument(
"--show",
type=str,
@ -64,6 +56,8 @@ def main():
help="whether to perform X->X speech recognition ('transcribe') \
or X->English translation ('translate')",
)
# Add argument for setting the origin language of the video, with auto-detection as default
parser.add_argument(
"--language",
type=str,
@ -72,16 +66,20 @@ def main():
help="What is the origin language of the video? \
If unset, it is detected automatically.",
)
# Add argument for selecting the backend: whisper or faster_whisper
parser.add_argument(
"--backend",
type=str,
default="whisper",
choices=["whisper", "faster_whisper"],
)
# Parse the command line arguments into a dictionary
args = parser.parse_args().__dict__
# Call the process function with the parsed arguments
process(args)
if __name__ == "__main__":
main()