Dockerfile

# HuggingFace Space — Docker SDK
# Roda FastAPI/uvicorn na porta 7860 (padrao HF Spaces) com o backend Python
# do DissertaAi: 10 modelos BERTimbau (5 jbcs2025 + 5 local_calibrado opcional)
# e API /corrigir.
#
# HF Spaces Free CPU: 16GB RAM, 2 vCPU. Cold start ~2-3min, request ~60-90s.

FROM python:3.11-slim

WORKDIR /app

# Dependencias do sistema (mínimas)
RUN apt-get update && apt-get install -y --no-install-recommends \
    git curl && rm -rf /var/lib/apt/lists/*

# Python deps — instalar torch CPU primeiro (menor)
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu && \
    pip install --no-cache-dir -r requirements.txt

# Codigo
COPY api.py corretor.py ./
COPY heuristica_c5.py ./

# Pasta pra HF cache dos modelos (precisa ser writable)
ENV HF_HOME=/tmp/hf_cache
ENV TRANSFORMERS_CACHE=/tmp/hf_cache
ENV DISSERO_TORCH_THREADS=2
ENV PYTHONIOENCODING=utf-8
ENV PYTHONUTF8=1

# HF Spaces espera porta 7860
EXPOSE 7860

CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "7860"]