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FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu22.04
ARG DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
RUN apt-get update && apt-get install -y \
build-essential \
python3.9 \
python3-pip \
git \
ffmpeg \
libcudnn8 \
libcudnn8-dev \
sudo
# Set up a new user named "user" with user ID 1099
RUN useradd -m -u 1099 user
WORKDIR /app
COPY ./requirements.txt /app/requirements.txt
# Set up CUDA libraries
RUN export LD_LIBRARY_PATH=`python3 -c 'import os; import nvidia.cublas.lib; import nvidia.cudnn.lib; import torch; print(os.path.dirname(nvidia.cublas.lib.__file__) + ":" + os.path.dirname(nvidia.cudnn.lib.__file__) + ":" + os.path.dirname(torch.__file__) +"/lib")'`:$LD_LIBRARY_PATH
RUN pip3 install --no-cache-dir --upgrade -r /app/requirements.txt
# Copy the current directory contents into the container at /app
COPY . /app
# Create necessary directories and set permissions
RUN mkdir -p /app/Results/Audio_Processing /app/Results/Video_Downloads && \
chown -R user:user /app/*
RUN chown -R user:user /app && \
chmod -R 777 /app/*
# Switch to the "user" user
USER user
#RUN mount && \
# touch /test_write && \
# echo "File system status:" && \
# df -h
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_THEME=huggingface \
SYSTEM=spaces \
TRANSFORMERS_CACHE=/dev/shm \
GRADIO_ANALYTICS_ENABLED=False
RUN whoami && \
echo "Permissions for /app:" && \
ls -la /app && \
echo "Permissions for /:" && \
ls -la /
CMD ["cd .app"]
# Command to run the application
CMD ["python3", "app.py"]
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