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Browse files- Dockerfile +64 -0
Dockerfile
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FROM python:3.8-slim
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# src https://github.com/sakemin/SOME/blob/main/Dockerfile
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# Build argument to specify whether to install PyTorch with CUDA support
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ARG WITH_CUDA=0
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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build-essential \
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libsndfile1 \
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ffmpeg \
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wget \
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unzip \
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git \
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&& rm -rf /var/lib/apt/lists/*
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RUN git clone https://github.com/sakemin/SOME
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COPY SOME/* .
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RUN pip install --upgrade pip==24.0 && \
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if [ "$WITH_CUDA" = "1" ]; then \
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pip install torch==2.1.0 --index-url https://download.pytorch.org/whl/cu118; \
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else \
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pip install torch==2.1.0 --index-url https://download.pytorch.org/whl/cpu; \
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fi && \
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pip install -r requirements.txt
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# Create directory for pretrained models and download model checkpoints
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RUN mkdir -p pretrained && \
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cd pretrained && \
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# Download SOMEv0.0.1 model
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wget -q https://github.com/openvpi/SOME/releases/download/v0.0.1/0918_continuous256_clean_3spk_fixmel.zip && \
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unzip 0918_continuous256_clean_3spk_fixmel.zip && \
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rm 0918_continuous256_clean_3spk_fixmel.zip && \
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# Download SOMEv1 model
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wget -q https://github.com/openvpi/SOME/releases/download/v1.0.0-baseline/0119_continuous128_5spk.zip && \
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unzip 0119_continuous128_5spk.zip && \
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rm 0119_continuous128_5spk.zip && \
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# Download RMVPE model
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wget -q https://github.com/yxlllc/RMVPE/releases/download/230917/rmvpe.zip && \
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unzip rmvpe.zip && \
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mkdir -p rmvpe && \
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mv model.pt rmvpe/model.pt && \
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rm rmvpe.zip
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# Add volume mount points for input and output files
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VOLUME ["/app/input", "/app/output"]
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CMD ["python", "webui.py", "--work_dir", "pretrained", "--addr", "0.0.0.0", "--port", "7860"]
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# # Set entrypoint to run inference
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# ENTRYPOINT ["python", "infer.py"]
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# # Default command (can be overridden)
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# CMD ["--help"]
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# COPY --chown=user ./requirements.txt requirements.txt
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# RUN pip install --no-cache-dir --upgrade -r requirements.txt
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# COPY --chown=user . /app
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# CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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