Dockerfile

FROM python:3.11-slim

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    ffmpeg \
    libgl1 \
    libglib2.0-0 \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Create non-root user
RUN groupadd -r appuser && useradd -r -g appuser -m appuser

# Set working directory
WORKDIR /app

# Copy requirements and install Python packages
COPY requirements.txt .
RUN pip3 install --no-cache-dir --upgrade pip && \
    pip3 install --no-cache-dir -r requirements.txt

# Set Hugging Face cache path for model download
ENV TRANSFORMERS_CACHE=/app/hf-cache

# Pre-download model as root (so the user doesn't need to write later)
RUN python3 -c "\
from transformers import SegformerImageProcessor, AutoModelForSemanticSegmentation; \
SegformerImageProcessor.from_pretrained('mattmdjaga/segformer_b2_clothes'); \
AutoModelForSemanticSegmentation.from_pretrained('mattmdjaga/segformer_b2_clothes')"

# Copy FastAPI app
COPY app.py .

# Fix permissions
RUN mkdir -p /app/logs && \
    chown -R appuser:appuser /app

# Set environment variables
ENV HOME=/home/appuser

# Switch to non-root user
USER appuser

# Expose port
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Run the FastAPI app
CMD ["python3", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]