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# Modern NVIDIA base image with CUDA 12.9 and Ubuntu 24.04 LTS
FROM nvidia/cuda:12.9.1-runtime-ubuntu24.04
# Avoid interactive errors
ENV DEBIAN_FRONTEND=noninteractive
# System packages
RUN apt-get update && apt-get install -y \
python3 \
python3-pip \
git \
&& rm -rf /var/lib/apt/lists/*
# Make python3 the default python
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 1
# Working directory
WORKDIR /app
# Copy requirements first (to enable Docker cache)
COPY docker/requirements.txt /app/requirements.txt
# Install PyTorch with CUDA support first (separate to use correct index URL)
RUN pip install --no-cache-dir torch==2.9.1 --index-url https://download.pytorch.org/whl/cu129 --break-system-packages
# Install remaining dependencies
RUN pip install --no-cache-dir -r requirements.txt --break-system-packages
# Copy application code
COPY src/app.py /app/app.py
COPY model /app/model
# Uvicorn exposed port
EXPOSE 7860
# Optimize Python for container
ENV PYTHONUNBUFFERED=1
ENV TRANSFORMERS_NO_ADVISORY_WARNINGS=1
CMD ["python", "app.py"]
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