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WIP:fix requirement
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@ -1,19 +1,44 @@
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# uvicorn==0.21.1
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# pyOpenSSL==23.0.0
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# numpy==1.23.5
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# #torch==2.0.0
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# torch==1.13.1
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# resampy==0.4.2
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# matplotlib==3.7.1
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# librosa==0.10.0.post1
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# pyworld==0.3.2
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# python-socketio==5.7.2
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# fastapi==0.94.1
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# onnxruntime-gpu==1.14.1
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# python-multipart==0.0.6
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# fairseq==0.12.2
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# # apt-get update
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# # apt-get install -y emacs mlocate wget git curl gcc g++ make unzip
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# # wget https://repo.anaconda.com/archive/Anaconda3-2022.10-Linux-x86_64.sh
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# # bash Anaconda3-2022.10-Linux-x86_64.sh
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uvicorn==0.21.1
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uvicorn==0.21.1
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pyOpenSSL==23.0.0
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pyOpenSSL==23.1.1
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numpy==1.23.5
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numpy==1.23.5
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#torch==2.0.0
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torch==1.13.1
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torch==1.13.1
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resampy==0.4.2
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resampy==0.4.2
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matplotlib==3.7.1
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python-socketio==5.8.0
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librosa==0.10.0.post1
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fastapi==0.95.1
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pyworld==0.3.2
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python-socketio==5.7.2
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fastapi==0.94.1
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onnxruntime-gpu==1.14.1
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python-multipart==0.0.6
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python-multipart==0.0.6
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onnxruntime-gpu==1.14.1
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pyworld==0.3.3
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scipy==1.10.1
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matplotlib==3.7.1
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fairseq==0.12.2
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fairseq==0.12.2
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# apt-get update
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websockets==11.0.2
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# apt-get install -y emacs mlocate wget git curl gcc g++ make unzip
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praat-parselmouth==0.4.3
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# wget https://repo.anaconda.com/archive/Anaconda3-2022.10-Linux-x86_64.sh
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faiss-cpu==1.7.3
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# bash Anaconda3-2022.10-Linux-x86_64.sh
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torchcrepe==0.0.18
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librosa==0.10.0.post1
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gin==0.1.6
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gin_config==0.5.0
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einops==0.6.0
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local_attention==1.8.5
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@ -81,7 +81,6 @@ class DDSP_SVC:
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self.args = args
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self.args = args
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self.sampling_rate = args.data.sampling_rate
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self.sampling_rate = args.data.sampling_rate
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self.hop_size = int(self.args.data.block_size * self.sampling_rate / self.args.data.sampling_rate)
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self.hop_size = int(self.args.data.block_size * self.sampling_rate / self.args.data.sampling_rate)
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print("-------------------hopsize", self.hop_size)
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# hubert
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# hubert
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self.vec_path = self.params["hubert_soft"]
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self.vec_path = self.params["hubert_soft"]
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