Dockerfile

# FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04

# RUN apt-get update && apt-get install -y \
#     git cmake build-essential python3 python3-pip python3-dev \
#     libboost-all-dev libopenblas-dev liblapack-dev

# WORKDIR /dlib
# RUN git clone https://github.com/davisking/dlib.git . \
#   && mkdir build && cd build \
#   && cmake .. -DDLIB_USE_CUDA=1 \
#   && cmake --build . --config Release

# # install via pip so dependencies like wheel are used
# RUN pip install --upgrade pip wheel cmake setuptools && \
#     cd /dlib && python3 setup.py install

# # Choose a writable directory, e.g., /home/user/huggingface
# RUN mkdir -p /home/user/huggingface
# RUN chmod -R 777 /home/user/huggingface

# # Then set environment variables
# ENV HF_HOME=/home/user/huggingface \
#     HF_HUB_CACHE=/home/user/huggingface/hub \
#     TRANSFORMERS_CACHE=/home/user/huggingface/hub

# WORKDIR /app
# COPY requirements.txt .
# RUN pip install -r requirements.txt
# COPY . .
# CMD ["python3", "app.py"]


FROM dillondrobena/opencv-cuda

WORKDIR /app

# Choose a writable directory, e.g., /home/user/huggingface
RUN mkdir -p /home/user/huggingface
RUN chmod -R 777 /home/user/huggingface

# Then set environment variables
ENV HF_HOME=/home/user/huggingface \
    HF_HUB_CACHE=/home/user/huggingface/hub \
    TRANSFORMERS_CACHE=/home/user/huggingface/hub

COPY requirements.txt .
RUN pip install --upgrade pip \
    && pip install -r requirements.txt

COPY . .
CMD ["python", "app.py"]