69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import uuid
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import time
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from tqdm import tqdm
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import torch
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import torchaudio
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from hyperpyyaml import load_hyperpyyaml
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from cosyvoice.cli.frontend import CosyVoiceFrontEnd
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from cosyvoice.cli.model import CosyVoiceModel
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class CosyVoice:
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def __init__(
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self,
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model_dir,
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):
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self.model_dir = model_dir
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with open("{}/cosyvoice.yaml".format(model_dir), "r") as f:
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configs = load_hyperpyyaml(f)
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self.frontend = CosyVoiceFrontEnd(
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configs["feat_extractor"],
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"{}/campplus.onnx".format(model_dir),
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"{}/speech_tokenizer_v1.onnx".format(model_dir),
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)
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self.model = CosyVoiceModel(configs["flow"], configs["hift"])
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self.model.load(
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"{}/flow.pt".format(model_dir),
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"{}/hift.pt".format(model_dir),
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)
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self.model.flow = self.model.flow.to(torch.bfloat16)
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del configs
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def token_to_wav_offline(
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self,
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speech_token,
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speech_feat,
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speech_feat_len,
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prompt_token,
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prompt_token_len,
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embedding,
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):
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tts_mel = self.model.flow.inference(
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token=speech_token.to(self.model.device),
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token_len=torch.tensor([speech_token.size(1)], dtype=torch.int32).to(
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self.model.device
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),
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prompt_token=prompt_token.to(self.model.device),
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prompt_token_len=prompt_token_len.to(self.model.device),
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prompt_feat=speech_feat.to(self.model.device),
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prompt_feat_len=speech_feat_len.to(self.model.device),
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embedding=embedding.to(self.model.device),
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)
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tts_speech = self.model.hift.inference(mel=tts_mel.float())[0].cpu()
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return tts_speech
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