apt update
apt-get -y install build-essential python3-dev ffmpeg
pip3 install --upgrade setuptools wheel
pip3 install --upgrade pip
pip3 install faiss-gpu fairseq gradio ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.2
apt -y install -qq aria2
pip install mega.py
pip install gdown
apt install git -y
apt install unzip -y

cd /workspace
git clone https://github.com/Estil1/Retrieval-based-Voice-Conversion-WebUI
cd Retrieval-based-Voice-Conversion-WebUI
mkdir -p pretrained uvr5_weights
git pull

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d pretrained -o D32k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D40k.pth -d pretrained -o D40k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D48k.pth -d pretrained -o D48k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G32k.pth -d pretrained -o G32k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G40k.pth -d pretrained -o G40k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G48k.pth -d pretrained -o G48k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D32k.pth -d pretrained -o f0D32k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D40k.pth -d pretrained -o f0D40k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D48k.pth -d pretrained -o f0D48k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G32k.pth -d pretrained -o f0G32k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G40k.pth -d pretrained -o f0G40k.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G48k.pth -d pretrained -o f0G48k.pth



aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth

aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d . -o hubert_base.pt



mkdir -p /workspace/RVC
mkdir -p /workspace/dataset
mkdir -p /workspace/EasyDataset



export MODELNAME="kanye"
export MODELEPOCH=2333333

mkdir -p logs/${MODELNAME}
mkdir -p /workspace/unzips/${MODELNAME}
unzip -d /workspace/unzips/${MODELNAME} -B /workspace/RVC/${MODELNAME}.zip
mv /workspace/unzips/${MODELNAME}/${MODELNAME}_D_${MODELEPOCH}.pth logs/${MODELNAME}/G_${MODELEPOCH}.pth
mv /workspace/unzips/${MODELNAME}/${MODELNAME}_G_${MODELEPOCH}.pth logs/${MODELNAME}/D_${MODELEPOCH}.pth
mv /workspace/unzips/${MODELNAME}/*.index logs/${MODELNAME}/
mv /workspace/unzips/${MODELNAME}/*.npy logs/${MODELNAME}/
mv /workspace/unzips/${MODELNAME}/${MODELNAME}${MODELEPOCH}.pth weights/${MODELNAME}.pth
rm -r /workspace/unzips/${MODELNAME}/

python3 infer-web.py --colab --pycmd python3



gdown 1rYm9GXtgUohZjStdfpLSq65kSZqSmqiz
gdown 1ZopwMm3pUNh5psgw6HEPxQrgRWp_tzFo



gdown 1rRLdG-n-35oOjUK3ZNU80xXABNAiqWJx



---

edit `infer-web.py` file

1:

I need to manually add the path here:
cpt = torch.load(person, map_location="cpu")

2: run the following line after the definition of the get_vc function to load a model

run get_vc("")

---

rename 'infer-web.py' with 'inferrr.py' so i can import things from it

---

make an import of vc_single:

from inferrr import vc_single

---

run inference:

vc_single(0, '/workspace/RVC/Vanessa.mp3', 0.0, '', 'pm', 'E:\\codes\\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\added_IVF677_Flat_nprobe_7.index', 'E:\\codes\\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy', 0.6)
song_output = ...^

it returns an audio and sampling rate. Save an audio with the right sampling rate like this
('Success', (40000, array([  -5,   -5,   -5, ..., 1481,  590, -489], dtype=int16))

def get_audio
if song_output and song_output[0] == 'Success':
    success =