WIP: parakeeet
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54
stt_voice_messages/models/stt_worker.py
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54
stt_voice_messages/models/stt_worker.py
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# This file is part of Gajim.
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#
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# Gajim is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Gajim is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Gajim. If not, see <http://www.gnu.org/licenses/>.
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import pickle
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import sys
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import traceback
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def _respond(response: dict) -> None:
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pickle.dump(response, sys.stdout.buffer)
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sys.stdout.buffer.flush()
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def main() -> None:
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model = None
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while True:
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try:
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cmd = pickle.load(sys.stdin.buffer)
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except EOFError:
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return
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try:
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op = cmd['op']
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if op == 'load':
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import onnx_asr
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model = onnx_asr.load_model(
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cmd['model_id'], cmd.get('model_path') or None)
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_respond({'ok': True})
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elif op == 'recognize':
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text = model.recognize(cmd['audio'])
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_respond({'ok': True, 'text': text})
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else:
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_respond({'ok': False, 'error': f'unknown op: {op}'})
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except Exception as e:
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_respond({
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'ok': False,
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'error': f'{type(e).__name__}: {e}',
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'traceback': traceback.format_exc(),
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})
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if __name__ == '__main__':
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main()
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