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4b0b144 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
WORKDIR /app
RUN apt-get update && \
apt-get install -y --no-install-recommends \
python3 python3-pip python3-dev \
git build-essential && \
rm -rf /var/lib/apt/lists/*
RUN ln -sf /usr/bin/python3 /usr/bin/python
RUN pip install --no-cache-dir --upgrade pip "setuptools>=68" wheel
# Install PyTorch with CUDA 12.1
RUN pip install --no-cache-dir \
torch==2.5.1 torchvision==0.20.1 \
--index-url https://download.pytorch.org/whl/cu121
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
RUN git clone https://github.com/YZY-stack/Effort-AIGI-Detection.git model_code && \
cd model_code && \
git checkout 96f5dea2b534d400cfd7003f053c7e93c8e16461 && \
cd ..
RUN mkdir -p /app/weights /app/hf_cache
COPY weights/ /app/weights/
COPY app.py .
ENV MODEL_PORT=5006
ENV PRELOAD_MODEL=false
ENV MODEL_TIMEOUT=600
ENV EFFORT_CHECKPOINT=genimage_effort.pth
ENV HF_HOME=/app/hf_cache
ENV TRANSFORMERS_CACHE=/app/hf_cache/hub
ENV PYTHONPATH=/app/model_code/DeepfakeBench/training:/app/model_code/DeepfakeBench/training/detectors:/app/model_code/DeepfakeBench/training/utils:$PYTHONPATH
EXPOSE ${MODEL_PORT}
RUN adduser --disabled-password --gecos '' appuser && \
chown -R appuser:appuser /app/hf_cache
USER appuser
CMD ["python", "app.py"]
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