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- # Base CUDA image
- FROM cnstark/pytorch:2.0.1-py3.9.17-cuda11.8.0-ubuntu20.04
- LABEL maintainer="breakstring@hotmail.com"
- LABEL version="dev-20240209"
- LABEL description="Docker image for GPT-SoVITS"
- # Install 3rd party apps
- ENV DEBIAN_FRONTEND=noninteractive
- ENV TZ=Etc/UTC
- RUN apt-get update && \
- apt-get install -y --no-install-recommends tzdata ffmpeg libsox-dev parallel aria2 git git-lfs && \
- git lfs install && \
- rm -rf /var/lib/apt/lists/*
- # Copy only requirements.txt initially to leverage Docker cache
- WORKDIR /workspace
- COPY requirements.txt /workspace/
- RUN pip install --no-cache-dir -r requirements.txt
- # Define a build-time argument for image type
- ARG IMAGE_TYPE=full
- # Conditional logic based on the IMAGE_TYPE argument
- # Always copy the Docker directory, but only use it if IMAGE_TYPE is not "elite"
- COPY ./Docker /workspace/Docker
- # elite 类型的镜像里面不包含额外的模型
- RUN if [ "$IMAGE_TYPE" != "elite" ]; then \
- chmod +x /workspace/Docker/download.sh && \
- /workspace/Docker/download.sh && \
- python /workspace/Docker/download.py && \
- python -m nltk.downloader averaged_perceptron_tagger cmudict; \
- fi
- # Copy the rest of the application
- COPY . /workspace
- # Copy the rest of the application
- COPY . /workspace
- EXPOSE 9871 9872 9873 9874 9880
- CMD ["python", "webui.py"]
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