Karl/bazarr-ai-sub-generator
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Expose more model parameters

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This commit is contained in:
Sergey Chernyaev 2024-01-05 17:48:37 +01:00
parent d8a3d96f52
commit ec1e8e2c19
3 changed files with 14 additions and 5 deletions
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6
auto_subtitle/cli.py
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@ -14,6 +14,12 @@ def main():
help="generate subtitles for a specific fragment of the video (e.g. 01:02:05-01:03:45)") help="generate subtitles for a specific fragment of the video (e.g. 01:02:05-01:03:45)")
parser.add_argument("--model", default="small", parser.add_argument("--model", default="small",
choices=available_models(), help="name of the Whisper model to use") choices=available_models(), help="name of the Whisper model to use")
parser.add_argument("--device", type=str, default="auto", 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.")
parser.add_argument("--output_dir", "-o", type=str, parser.add_argument("--output_dir", "-o", type=str,
default=".", help="directory to save the outputs") default=".", help="directory to save the outputs")
parser.add_argument("--output_srt", type=str2bool, default=False, parser.add_argument("--output_srt", type=str2bool, default=False,

8
auto_subtitle/main.py
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@ -12,6 +12,8 @@ def process(args: dict):
srt_only: bool = args.pop("srt_only") srt_only: bool = args.pop("srt_only")
language: str = args.pop("language") language: str = args.pop("language")
sample_interval: str = args.pop("sample_interval") sample_interval: str = args.pop("sample_interval")
device: str = args.pop("device")
compute_type: str = args.pop("compute_type")
os.makedirs(output_dir, exist_ok=True) os.makedirs(output_dir, exist_ok=True)
@ -25,7 +27,7 @@ def process(args: dict):
audios = get_audio(args.pop("video"), args.pop('audio_channel'), sample_interval) audios = get_audio(args.pop("video"), args.pop('audio_channel'), sample_interval)
subtitles = get_subtitles( subtitles = get_subtitles(
audios, output_srt or srt_only, output_dir, model_name, args audios, output_srt or srt_only, output_dir, model_name, device, compute_type, args
) )
if srt_only: if srt_only:
@ -33,8 +35,8 @@ def process(args: dict):
overlay_subtitles(subtitles, output_dir, sample_interval) overlay_subtitles(subtitles, output_dir, sample_interval)
def get_subtitles(audio_paths: list, output_srt: bool, output_dir: str, model_name: str, model_args: dict): def get_subtitles(audio_paths: list, output_srt: bool, output_dir: str, model_name: str, device: str, compute_type: str, model_args: dict):
model = WhisperAI(model_name, model_args) model = WhisperAI(model_name, device, compute_type, model_args)
subtitles_path = {} subtitles_path = {}

5
auto_subtitle/utils/whisper.py
View File

@ -3,8 +3,8 @@ import faster_whisper
from tqdm import tqdm from tqdm import tqdm
class WhisperAI: class WhisperAI:
def __init__(self, model_name, model_args): def __init__(self, model_name, device, compute_type, model_args):
self.model = faster_whisper.WhisperModel(model_name, device="cuda", compute_type="float16") self.model = faster_whisper.WhisperModel(model_name, device=device, compute_type=compute_type)
self.model_args = model_args self.model_args = model_args
def transcribe(self, audio_path): def transcribe(self, audio_path):
@ -18,3 +18,4 @@ class WhisperAI:
for segment in segments: for segment in segments:
yield segment yield segment
pbar.update(segment.end - segment.start) pbar.update(segment.end - segment.start)
pbar.update(0)