Dockerfile

FROM python:3.10-slim

# Minimal system deps: ffmpeg for audio remuxing, libgl1/libglib for OpenCV,
# build-essential for compiling insightface's C++ extension.
RUN apt-get update && apt-get install -y --no-install-recommends \
        ffmpeg \
        libgl1 \
        libglib2.0-0 \
        build-essential \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

ENV GRADIO_SERVER_NAME=0.0.0.0
ENV GRADIO_SERVER_PORT=7860
EXPOSE 7860

# The pip-installed nvidia-*-cu12 packages (see requirements.txt) ship the
# actual CUDA/cuDNN .so files onnxruntime-gpu needs. python:3.10-slim always
# installs them to this exact path, so we hardcode it rather than computing
# it dynamically at container start.
ENV LD_LIBRARY_PATH="/usr/local/lib/python3.10/site-packages/nvidia/cublas/lib:/usr/local/lib/python3.10/site-packages/nvidia/cudnn/lib:/usr/local/lib/python3.10/site-packages/nvidia/cuda_runtime/lib:/usr/local/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib:/usr/local/lib/python3.10/site-packages/nvidia/cufft/lib:/usr/local/lib/python3.10/site-packages/nvidia/curand/lib:/usr/local/lib/python3.10/site-packages/nvidia/cusolver/lib:/usr/local/lib/python3.10/site-packages/nvidia/cusparse/lib:${LD_LIBRARY_PATH}"

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