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Browse files- Dockerfile +42 -0
Dockerfile
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FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
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ENV DEBIAN_FRONTEND=noninteractive
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# Set the MKL_THREADING_LAYER environment variable to GNU
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ENV MKL_THREADING_LAYER=GNU
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RUN apt-get update && apt-get install -y git wget libgl1-mesa-glx libglib2.0-0 ffmpeg libx264-dev build-essential cmake aria2
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH \
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PYTHONPATH=$HOME/app \
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PYTHONUNBUFFERED=1 \
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GRADIO_ALLOW_FLAGGING=never \
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GRADIO_NUM_PORTS=1 \
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GRADIO_SERVER_NAME=0.0.0.0 \
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GRADIO_THEME=huggingface \
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GRADIO_SHARE=False \
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SYSTEM=spaces
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# Set the working directory to the user's home directory
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WORKDIR $HOME/app
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RUN git clone -b magnet https://github.com/camenduru/audiocraft $HOME/app
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# Install dependencies
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RUN pip install -q av julius omegaconf einops num2words flashy torchmetrics sentencepiece gradio
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RUN pip install -q https://github.com/camenduru/wheels/releases/download/colab/xformers-0.0.20+1dc3d7a.d20240115-cp310-cp310-linux_x86_64.whl
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RUN pip install -q .
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#COPY app.py .
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# Set the environment variable to specify the GPU device
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ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
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ENV CUDA_VISIBLE_DEVICES=0
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# Run the Python script
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CMD ["python", "-m", "demos.magnet_app", "--share"]
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