Create Dockerfile

Dockerfile

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+FROM pytorch/pytorch:2.0.1-cuda11.7-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 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"]