makaveli10
47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
import argparse
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import os
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--port', '-p',
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type=int,
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default=9090,
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help="Websocket port to run the server on.")
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parser.add_argument('--backend', '-b',
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type=str,
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default='faster_whisper',
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help='Backends from ["tensorrt", "faster_whisper"]')
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parser.add_argument('--faster_whisper_custom_model_path', '-fw',
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type=str, default=None,
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help="Custom Faster Whisper Model")
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parser.add_argument('--trt_model_path', '-trt',
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type=str,
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default=None,
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help='Whisper TensorRT model path')
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parser.add_argument('--trt_multilingual', '-m',
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action="store_true",
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help='Boolean only for TensorRT model. True if multilingual.')
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parser.add_argument('--omp_num_threads', '-omp',
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type=int,
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default=1,
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help="Number of threads to use for OpenMP")
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args = parser.parse_args()
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if args.backend == "tensorrt":
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if args.trt_model_path is None:
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raise ValueError("Please Provide a valid tensorrt model path")
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if "OMP_NUM_THREADS" not in os.environ:
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os.environ["OMP_NUM_THREADS"] = str(args.omp_num_threads)
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from whisper_live.server import TranscriptionServer
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server = TranscriptionServer()
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server.run(
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"0.0.0.0",
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port=args.port,
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backend=args.backend,
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faster_whisper_custom_model_path=args.faster_whisper_custom_model_path,
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whisper_tensorrt_path=args.trt_model_path,
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trt_multilingual=args.trt_multilingual
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)
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