agony
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An unofficial PyTorch implementation of [VALL-E](https://vall-e-demo.ecker.tech/), utilizing the [EnCodec](https://github.com/facebookresearch/encodec) encoder/decoder.
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A demo is available on HuggingFace [here](https://huggingface.co/spaces/ecker/vall-e).
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## Requirements
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Besides a working PyTorch environment, the only hard requirement is [`espeak-ng`](https://github.com/espeak-ng/espeak-ng/) for phonemizing text:
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import os
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import sys
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import os
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argv = os.environ.get('VALLE_ARGS', None)
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if argv:
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sys.argv = sys.argv + argv.split(" ")
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import re
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import math
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import argparse
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@ -29,7 +35,7 @@ try:
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USING_SPACES = True
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spaces_zerogpu_decorator = spaces.GPU
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except ImportError:
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except Exception as e:
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USING_SPACES = False
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def spaces_zerogpu_decorator(func):
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return func
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@ -556,11 +562,11 @@ with ui:
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def start( lock=True ):
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setup_logging()
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ui.queue(max_size=8)
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ui.launch(share=args.share, server_name=args.listen_host, server_port=args.listen_port, prevent_thread_lock=not lock)
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if not USING_SPACES:
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ui.queue(max_size=8)
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ui.launch(share=args.share, server_name=args.listen_host, server_port=args.listen_port, prevent_thread_lock=not lock)
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else:
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ui.queue().launch()
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if __name__ == "__main__":
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if not USING_SPACES:
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start()
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else:
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ui.queue().launch()
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start()
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