Dockerfile

FROM nvidia/cuda:11.2.2-cudnn8-runtime-ubuntu20.04

# Install dependencies
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    python3-pip \
    python3-dev \
    python3-venv \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libglib2.0-0 \
    libgl1-mesa-glx \
    libgomp1 && \
    rm -rf /var/lib/apt/lists/*

# Set the working directory
WORKDIR /app

# Copy the requirements file
COPY requirements.txt /app/requirements.txt

# Create a virtual environment and install Python dependencies
RUN python3 -m venv /opt/venv && \
    . /opt/venv/bin/activate && \
    pip install --upgrade pip && \
    pip install setuptools wheel && \
    pip install -r requirements.txt

# Copy the application code
COPY . /app

# Set environment variables
ENV PATH="/opt/venv/bin:$PATH" \
    PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    NVIDIA_VISIBLE_DEVICES=all \
    NVIDIA_DRIVER_CAPABILITIES=compute,utility \
    TF_CPP_MIN_LOG_LEVEL=2 \
    TF_ENABLE_ONEDNN_OPTS=0

# Expose the port the app runs on
EXPOSE 5000

# Command to run the application
CMD ["python3", "main.py"]