dfu-suite-pwat / Dockerfile
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Upgrade to Keras 3.x for model compatibility
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FROM python:3.10
WORKDIR /app
RUN apt-get update && apt-get install -y \
git git-lfs ffmpeg libsm6 libxext6 cmake rsync libgl1 \
&& rm -rf /var/lib/apt/lists/* && git lfs install
RUN pip install --no-cache-dir pip -U
RUN pip install --no-cache-dir datasets "huggingface-hub>=0.30" "hf-transfer>=0.1.4"
# CRITICAL: Install numpy FIRST (pyradiomics needs it at build time)
RUN pip install --no-cache-dir "numpy<2.0"
# Install Keras 3.x and TensorFlow
RUN pip install --no-cache-dir keras==3.7.0
RUN pip install --no-cache-dir tensorflow-cpu==2.18.0
# Install pyradiomics separately (needs numpy at build time)
# Use --no-build-isolation to access already-installed numpy
RUN pip install --no-cache-dir --no-build-isolation pyradiomics==3.0.1 SimpleITK pynrrd
COPY requirements.txt /tmp/requirements.txt
COPY constraints.txt /tmp/constraints.txt
RUN pip install --no-cache-dir --constraint /tmp/constraints.txt -r /tmp/requirements.txt
RUN pip install --no-cache-dir --constraint /tmp/constraints.txt gradio
COPY . /app
RUN mkdir -p /app/modelos
ENV GRADIO_SERVER_NAME="0.0.0.0"
ENV GRADIO_SERVER_PORT=7860
CMD ["python", "app.py"]