| | |
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| | | # print(meg) |
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| | | wav_name = meg.get("wav_name", "demo") |
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| | | print(wav_name) |
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| | | text = meg["text"][0] |
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| | | text = meg["text"] |
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| | | if ibest_writer is not None: |
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| | | ibest_writer["text"][wav_name] = text |
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| | | if meg["mode"] == "online": |
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| | |
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| | | rec_result = inference_pipeline_punc(text_in=rec_result['text'], |
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| | | param_dict=websocket.param_dict_punc) |
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| | | # print(rec_result) |
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| | | message = json.dumps({"mode": "offline", "text": [rec_result["text"]], "wav_name": websocket.wav_name}) |
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| | | message = json.dumps({"mode": "offline", "text": rec_result["text"], "wav_name": websocket.wav_name}) |
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| | | await websocket.send(message) |
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| | | |
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| | | |
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| | | |
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| | | |
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