Dockerfile

# =====================================================================
# VerifyAI Backend — HuggingFace Spaces (Docker SDK)
# =====================================================================
FROM python:3.11-slim

# ---------- System dependencies ----------
# libgl1 + libglib + libsm/xext/xrender: OpenCV
# libgles2 + libegl1: MediaPipe (precisa mesmo em CPU-only)
# ffmpeg: imageio/pyav (video decoding)
# git: alguns wheels do transformers precisam
RUN apt-get update && apt-get install -y --no-install-recommends \
    libgl1 \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender1 \
    libgles2 \
    libegl1 \
    ffmpeg \
    git \
    && rm -rf /var/lib/apt/lists/*

# ---------- Non-root user (HuggingFace Spaces requirement) ----------
RUN useradd -m -u 1000 user
USER user

ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    HF_HOME=/home/user/.cache/huggingface \
    TRANSFORMERS_CACHE=/home/user/.cache/huggingface \
    MPLCONFIGDIR=/tmp/matplotlib \
    PYTHONUNBUFFERED=1

WORKDIR $HOME/app

# ---------- Python dependencies ----------
# torch >= 2.6 é obrigatório pelo transformers (CVE-2025-32434 — pickle .bin)
# CPU-only wheel economiza ~1.5GB vs versão CUDA
RUN pip install --no-cache-dir --user \
    torch==2.6.0 torchvision==0.21.0 \
    --index-url https://download.pytorch.org/whl/cpu

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

# ---------- Application code ----------
COPY --chown=user . .

# HuggingFace Spaces expõe na porta 7860
EXPOSE 7860

CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]