Dockerfile

ARG CUDA_IMAGE="12.1.1-devel-ubuntu22.04"
FROM nvidia/cuda:${CUDA_IMAGE}

# Install Python 3.10 and other necessary packages
RUN apt-get update && apt-get install -y \
    python3.10 python3-pip \
    tesseract-ocr \
    libtesseract-dev \
    libgl1-mesa-glx \
    poppler-utils \
    && rm -rf /var/lib/apt/lists/*

# Set the working directory in the container to /app
WORKDIR /app

# Copy the requirements file into the container at /app
COPY requirements.txt /app/

# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of your application's code
COPY . /app

# Create a user to run the application
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH

# Set the working directory in the user's home directory
WORKDIR $HOME/app
COPY --chown=user . $HOME/app

# Make port 8000 available to the world outside this container
EXPOSE 8000

# Define environment variable
ENV NAME World

# Run the application when the container launches
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]