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feat: complete platform — auth, deployment, hardening
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FROM python:3.11-slim
WORKDIR /app
# System dependencies for OpenCV / EasyOCR
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender1 \
&& rm -rf /var/lib/apt/lists/*
# Install CPU-only torch first (avoids pulling 2 GB of CUDA packages)
RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu
# Install remaining Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Pre-download the embedding model so first request is instant
# Model is cached in /app/model_cache (bind-mount a volume in prod for persistence)
ENV HF_HOME=/app/model_cache
RUN python -c "\
from langchain_huggingface import HuggingFaceEmbeddings; \
HuggingFaceEmbeddings(model_name='intfloat/multilingual-e5-large'); \
print('Model cached ✓')"
COPY . .
ENV PORT=8000
EXPOSE 8000
CMD ["python", "run.py"]