Dockerfile

ARG CUDA_VERSION=12.6
ARG TORCH_BASE=full

FROM pytorch/pytorch:2.8.0-cuda12.6-cudnn9-devel

LABEL maintainer="XXXXRT"
LABEL version="V2 Pro"
LABEL description="Docker image for GPT-SoVITS"

ARG CUDA_VERSION=12.6

ENV CUDA_VERSION=${CUDA_VERSION}

SHELL ["/bin/bash", "-c"]

WORKDIR /workspace/GPT-SoVITS

COPY Docker /workspace/GPT-SoVITS/Docker/

ARG LITE=false
ENV LITE=${LITE}

ARG WORKFLOW=false
ENV WORKFLOW=${WORKFLOW}

ARG TARGETPLATFORM
ENV TARGETPLATFORM=${TARGETPLATFORM}

COPY extra-req.txt /workspace/GPT-SoVITS/

COPY requirements.txt /workspace/GPT-SoVITS/

COPY install.sh /workspace/GPT-SoVITS/

RUN bash Docker/install_wrapper.sh

EXPOSE 9871 9872 9873 9874 9880

ENV PYTHONPATH="/workspace/GPT-SoVITS"

RUN conda init bash && echo "conda activate base" >> ~/.bashrc

WORKDIR /workspace

RUN rm -rf /workspace/GPT-SoVITS

WORKDIR /workspace/GPT-SoVITS

COPY . /workspace/GPT-SoVITS

CMD ["/bin/bash", "-c", "\
  rm -rf /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models && \
  rm -rf /workspace/GPT-SoVITS/GPT_SoVITS/text/G2PWModel && \
  rm -rf /workspace/GPT-SoVITS/tools/asr/models && \
  rm -rf /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights && \
  ln -s /workspace/models/pretrained_models /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models && \
  ln -s /workspace/models/G2PWModel /workspace/GPT-SoVITS/GPT_SoVITS/text/G2PWModel && \
  ln -s /workspace/models/asr_models /workspace/GPT-SoVITS/tools/asr/models && \
  ln -s /workspace/models/uvr5_weights /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights && \
  exec bash"]