Dockerfile.concurrent_gary

# Use a CUDA-enabled base image with Ubuntu 20.04
FROM nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu20.04

# Set the working directory
WORKDIR /usr/src/app

# Install necessary packages including Python 3.9 and pip
RUN apt-get update && apt-get install -y \
    software-properties-common \
    && add-apt-repository ppa:deadsnakes/ppa \
    && apt-get update && apt-get install -y \
    python3.9 \
    python3.9-distutils \
    wget \
    git \
    && rm -rf /var/lib/apt/lists/*

RUN apt-get update && apt-get install -y \
    ffmpeg \
    libsndfile1 \
    && rm -rf /var/lib/apt/lists/*

# Install pip for Python 3.9
RUN wget https://bootstrap.pypa.io/get-pip.py && python3.9 get-pip.py && rm get-pip.py

# Install setuptools and wheel
RUN python3.9 -m pip install --upgrade pip
RUN python3.9 -m pip install setuptools wheel

# Install numpy using a later version (or try with 1.24.0)
RUN python3.9 -m pip install numpy==1.24.0 --prefer-binary

# Copy the requirements file into the container
COPY requirements-concurrent_gary.txt ./

# Install Python dependencies
RUN python3.9 -m pip install --no-cache-dir -r requirements-concurrent_gary.txt

RUN python3.9 -m pip install numpy==1.24.0 --prefer-binary

# Verify gunicorn installation and list installed packages
RUN python3.9 -m pip show gunicorn
RUN python3.9 -m pip list

# Copy the entire application folder
COPY . .

# Copy entrypoint.sh and make it executable
COPY concurrent_gary-entrypoint.sh /usr/src/app/concurrent_gary-entrypoint.sh
RUN chmod +x /usr/src/app/concurrent_gary-entrypoint.sh

# Make port 8001 available to the world outside this container
EXPOSE 8001

# Use the entrypoint.sh script
ENTRYPOINT ["/usr/src/app/concurrent_gary-entrypoint.sh"]