mirror of
https://github.com/karl0ss/bazarr-ai-sub-generator.git
synced 2025-04-26 14:59:21 +01:00
109 lines
3.7 KiB
Python
109 lines
3.7 KiB
Python
import os
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import ffmpeg
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import whisper
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import argparse
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import warnings
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import tempfile
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from .utils import filename, str2bool, write_srt
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def main():
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parser = argparse.ArgumentParser(
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formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument("video", nargs="+", type=str,
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help="paths to video files to transcribe")
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parser.add_argument("--model", default="small",
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choices=whisper.available_models(), help="name of the Whisper model to use")
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parser.add_argument("--output_dir", "-o", type=str,
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default=".", help="directory to save the outputs")
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parser.add_argument("--output_srt", type=str2bool, default=False,
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help="whether to output the .srt file along with the video files")
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parser.add_argument("--srt_only", type=str2bool, default=False,
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help="only generate the .srt file and not create overlayed video")
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parser.add_argument("--verbose", type=str2bool, default=False,
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help="whether to print out the progress and debug messages")
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parser.add_argument("--task", type=str, default="transcribe", choices=[
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"transcribe", "translate"], help="whether to perform X->X speech recognition ('transcribe') or X->English translation ('translate')")
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args = parser.parse_args().__dict__
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model_name: str = args.pop("model")
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output_dir: str = args.pop("output_dir")
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output_srt: bool = args.pop("output_srt")
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srt_only: bool = args.pop("srt_only")
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os.makedirs(output_dir, exist_ok=True)
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if model_name.endswith(".en"):
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warnings.warn(
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f"{model_name} is an English-only model, forcing English detection.")
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args["language"] = "en"
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model = whisper.load_model(model_name)
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audios = get_audio(args.pop("video"))
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subtitles = get_subtitles(
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audios, output_srt or srt_only, output_dir, lambda audio_path: model.transcribe(audio_path, **args)
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)
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if srt_only:
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return
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for path, srt_path in subtitles.items():
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out_path = os.path.join(output_dir, f"{filename(path)}.mp4")
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print(f"Adding subtitles to {filename(path)}...")
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video = ffmpeg.input(path)
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audio = video.audio
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ffmpeg.concat(
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video.filter('subtitles', srt_path, force_style="OutlineColour=&H40000000,BorderStyle=3"), audio, v=1, a=1
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).output(out_path).run(quiet=True, overwrite_output=True)
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print(f"Saved subtitled video to {os.path.abspath(out_path)}.")
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def get_audio(paths):
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temp_dir = tempfile.gettempdir()
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audio_paths = {}
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for path in paths:
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print(f"Extracting audio from {filename(path)}...")
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output_path = os.path.join(temp_dir, f"{filename(path)}.wav")
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ffmpeg.input(path).output(
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output_path,
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acodec="pcm_s16le", ac=1, ar="16k"
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).run(quiet=True, overwrite_output=True)
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audio_paths[path] = output_path
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return audio_paths
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def get_subtitles(audio_paths: list, output_srt: bool, output_dir: str, transcribe: callable):
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srt_path = output_dir if output_srt else tempfile.gettempdir()
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subtitles_path = {}
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for path, audio_path in audio_paths.items():
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srt_path = os.path.join(srt_path, f"{filename(path)}.srt")
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print(
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f"Generating subtitles for {filename(path)}... This might take a while."
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)
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warnings.filterwarnings("ignore")
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result = transcribe(audio_path)
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warnings.filterwarnings("default")
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with open(srt_path, "w", encoding="utf-8") as srt:
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write_srt(result["segments"], file=srt)
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subtitles_path[path] = srt_path
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return subtitles_path
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if __name__ == '__main__':
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main()
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