mirror of
https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-04 09:29:25 +08:00
update stream code
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@@ -61,8 +61,11 @@ def main():
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request.instruct_request.CopyFrom(instruct_request)
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response = stub.Inference(request)
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tts_audio = b''
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for r in response:
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tts_audio += r.tts_audio
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tts_speech = torch.from_numpy(np.array(np.frombuffer(tts_audio, dtype=np.int16))).unsqueeze(dim=0)
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logging.info('save response to {}'.format(args.tts_wav))
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tts_speech = torch.from_numpy(np.array(np.frombuffer(response.tts_audio, dtype=np.int16))).unsqueeze(dim=0)
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torchaudio.save(args.tts_wav, tts_speech, target_sr)
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logging.info('get response')
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@@ -4,7 +4,7 @@ package cosyvoice;
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option go_package = "protos/";
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service CosyVoice{
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rpc Inference(Request) returns (Response) {}
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rpc Inference(Request) returns (stream Response) {}
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}
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message Request{
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@@ -54,9 +54,10 @@ class CosyVoiceServiceImpl(cosyvoice_pb2_grpc.CosyVoiceServicer):
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model_output = self.cosyvoice.inference_instruct(request.instruct_request.tts_text, request.instruct_request.spk_id, request.instruct_request.instruct_text)
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logging.info('send inference response')
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response = cosyvoice_pb2.Response()
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response.tts_audio = (model_output['tts_speech'].numpy() * (2 ** 15)).astype(np.int16).tobytes()
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return response
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for i in model_output:
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response = cosyvoice_pb2.Response()
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response.tts_audio = (i['tts_speech'].numpy() * (2 ** 15)).astype(np.int16).tobytes()
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yield response
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def main():
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grpcServer = grpc.server(futures.ThreadPoolExecutor(max_workers=args.max_conc), maximum_concurrent_rpcs=args.max_conc)
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