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-FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-# Set the MKL_THREADING_LAYER environment variable to GNU
-ENV MKL_THREADING_LAYER=GNU
-
-RUN apt-get update && apt-get install -y git wget libgl1-mesa-glx libglib2.0-0 ffmpeg libx264-dev build-essential cmake aria2
-
-RUN useradd -m -u 1000 user
-
-USER user
-
-ENV HOME=/home/user \
-	PATH=/home/user/.local/bin:$PATH \
-    PYTHONPATH=$HOME/app \
-	PYTHONUNBUFFERED=1 \
-	GRADIO_ALLOW_FLAGGING=never \
-	GRADIO_NUM_PORTS=1 \
-	GRADIO_SERVER_NAME=0.0.0.0 \
-	GRADIO_THEME=huggingface \
-    GRADIO_SHARE=False \
-	SYSTEM=spaces
-
-# Set the working directory to the user's home directory
-WORKDIR $HOME/app
-
-RUN git clone -b magnet https://github.com/camenduru/audiocraft $HOME/app 
-    
-# Install dependencies
-RUN pip install -q av julius omegaconf einops num2words flashy torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu121 torchmetrics sentencepiece gradio
-RUN pip install -q https://github.com/camenduru/wheels/releases/download/colab/xformers-0.0.20+1dc3d7a.d20240115-cp310-cp310-linux_x86_64.whl
-RUN pip install -q .
-
-#COPY app.py .
-
-# Set the environment variable to specify the GPU device
-ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
-ENV CUDA_VISIBLE_DEVICES=0
-
-# Run the Python script
-CMD ["python", "-m", "demos.magnet_app", "--share"]