dockerfile

# Use the official CUDA Debian base image from NVIDIA
FROM nvidia/cuda:11.2.2-devel-ubuntu20.04

# Set environment variables to avoid interactive prompts during package installation
ENV DEBIAN_FRONTEND=noninteractive

# Install Python and system dependencies
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3-pip \
    build-essential \
    wget \
    && rm -rf /var/lib/apt/lists/*

# Create a symlink for python3
RUN ln -s /usr/bin/python3.10 /usr/bin/python

# Upgrade pip
RUN python -m pip install --upgrade pip

# Install Python dependencies
RUN pip install torch==2.0.0+cu118
    torchvision==0.15.1+cu118 --extra-index-url https://download.pytorch.org/whl/cu118 \
    python-slugify \
    uuid \
    peft==0.7.1 \
    huggingface-hub==0.23.4 \
    diffusers==0.29.2 \
    transformers==4.42.3 \
    accelerate==0.31.0 \
    safetensors==0.4.3 \
    prodigyopt==1.0 \
    hf-transfer==0.1.4 \
    datasets==2.20.0

# Copy your application code to the container
COPY . /app

# Set the working directory to /app
WORKDIR /app

# Specify the command to run your application
CMD ["python", "app.py"]

# Expose any ports the app will run on
EXPOSE 7860