Dockerfile

# CPU-only base that works well on Spaces
FROM python:3.8.20

ENV DEBIAN_FRONTEND=noninteractive \
    PIP_NO_CACHE_DIR=1

# System deps that MMDet often needs at runtime (and to import)
RUN apt-get update && apt-get install -y --no-install-recommends \
      git build-essential \
      libgl1 libglib2.0-0 ffmpeg \
    && rm -rf /var/lib/apt/lists/*

# Python basics first
RUN python -m pip install -U pip "setuptools<70" wheel

# (Optional) Pin a stable Torch for CPU
RUN python -m pip install "torch==2.3.*" "torchvision==0.18.*" --index-url https://download.pytorch.org/whl/cpu

# Install OpenMIM and core OpenMMLab packages (CPU wheels)
RUN python -m pip install -U openmim \
 && mim install "mmengine>=0.10,<1.0" \
 && mim install "mmcv>=2.0.0rc4,<2.2.0" \
 && mim install "mmdet>=3.2.0,<4.0.0"


RUN python -m pip install transformers>=4.35

ENV XDG_CACHE_HOME=/tmp/cache
RUN mkdir -p /tmp/cache && chmod -R 777 /tmp/cache

ENV MPLCONFIGDIR=/tmp/matplotlib
RUN mkdir -p $XDG_CACHE_HOME/fontconfig \
    && mkdir -p $MPLCONFIGDIR \
    && chmod -R 777 /tmp 

ENV HF_HOME=/tmp/huggingface \
    HUGGINGFACE_HUB_CACHE=/tmp/huggingface/hub \
    TRANSFORMERS_CACHE=/tmp/huggingface/transformers
RUN mkdir -p /tmp/huggingface/hub && mkdir -p /tmp/huggingface/transformers && chmod -R 777 /tmp/huggingface

RUN python -m pip install gradio>=4.0.0
RUN python -m pip install supervision
RUN python -m pip install timm

# Your app
WORKDIR /app
#COPY app.py /app/
COPY . . 

EXPOSE 7860
ENV PORT=7860
# If your app needs extras:
# RUN python -m pip install -U onnxruntime opencv-python-headless pillow tqdm

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