Dockerfile

# Dockerfile for Hugging Face Spaces deployment
# Optimized for ML inference with scikit-learn

FROM python:3.10-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# Copy requirements first for caching
COPY requirements-api.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements-api.txt

# Copy application code
COPY src/ ./src/
COPY params.yaml ./
COPY metrics.json ./

# Copy model files (downloaded by workflow)
COPY models/ ./models/

# Set environment variables
ENV PYTHONPATH=/app
ENV PYTHONUNBUFFERED=1

# Memory optimization
ENV OMP_NUM_THREADS=1
ENV MKL_NUM_THREADS=1
ENV OPENBLAS_NUM_THREADS=1

# Hugging Face Spaces uses port 7860
EXPOSE 7860

# Run the API
CMD ["python", "-m", "uvicorn", "src.api.main:app", "--host", "0.0.0.0", "--port", "7860"]

# Build trigger: 20260117v4