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pass compute_type

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Max Bain
2023-04-24 21:26:44 +01:00
parent 2a29f0ec6a
commit 0efad26066
1 changed files with 3 additions and 2 deletions
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whisperx/transcribe.py
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@ -24,7 +24,6 @@ def cli():
parser.add_argument("--batch_size", default=8, type=int, help="device to use for PyTorch inference")
parser.add_argument("--compute_type", default="float16", type=str, choices=["float16", "float32", "int8"], help="compute type for computation")
parser.add_argument("--output_dir", "-o", type=str, default=".", help="directory to save the outputs")
parser.add_argument("--output_format", "-f", type=str, default="all", choices=["all", "srt", "vtt", "txt", "tsv", "json"], help="format of the output file; if not specified, all available formats will be produced")
parser.add_argument("--verbose", type=str2bool, default=True, help="whether to print out the progress and debug messages")
@ -82,6 +81,8 @@ def cli():
output_dir: str = args.pop("output_dir")
output_format: str = args.pop("output_format")
device: str = args.pop("device")
compute_type: str = args.pop("compute_type")
# model_flush: bool = args.pop("model_flush")
os.makedirs(output_dir, exist_ok=True)
@ -145,7 +146,7 @@ def cli():
results = []
tmp_results = []
# model = load_model(model_name, device=device, download_root=model_dir)
model = load_model(model_name, device=device, language=args['language'], asr_options=asr_options, vad_options={"vad_onset": vad_onset, "vad_offset": vad_offset},)
model = load_model(model_name, device=device, compute_type=compute_type, language=args['language'], asr_options=asr_options, vad_options={"vad_onset": vad_onset, "vad_offset": vad_offset},)
for audio_path in args.pop("audio"):
audio = load_audio(audio_path)