Dockerfile

FROM python:3.10-slim-bookworm AS builder

# Install system dependencies for compiling audio tools and Python packages
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    g++ \
    ffmpeg \
    libsndfile1 \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies.
# Ensure we use a CPU-only version of PyTorch to avoid CUDA bloat.
# If your requirements.txt already pulls torch without CUDA, you can keep the simple install.
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt \
        --extra-index-url https://download.pytorch.org/whl/cpu


# Final stage
FROM python:3.10-slim-bookworm

# Install runtime system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg \
    libsndfile1 \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Copy installed packages from builder
COPY --from=builder /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin

# Copy application code
COPY app.py .

# Create non-root user for security
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
USER appuser

# Environment variables with defaults
ENV MODEL_SIZE=small \
    MAX_FILE_SIZE_MB=200 \
    LOG_LEVEL=INFO \
    PORT=7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

EXPOSE 7860


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