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c89b543 a5481a8 c89b543 a5481a8 c89b543 a5481a8 c89b543 a5481a8 c89b543 a5481a8 c89b543 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | # Use Python 3.11 slim image as base
FROM python:3.11-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PYTHONPATH=/app \
PORT=7860
# Set work directory
WORKDIR /
# Install system dependencies
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
build-essential \
gcc \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first to leverage Docker cache
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip \
&& pip install --no-cache-dir -r requirements.txt
# Copy the rest of the application
COPY . .
# Create a non-root user and set permissions
RUN adduser --disabled-password --gecos '' appuser \
&& chown -R appuser:appuser /app
USER appuser
# Expose port (Hugging Face typically uses port 7860 or 8080)
EXPOSE $PORT
# Health check endpoint
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
CMD curl -f http://localhost:$PORT/health || exit 1
# Run the application with uvicorn directly for better production performance
CMD ["sh", "-c", "uvicorn api:app --host 0.0.0.0 --port $PORT"]
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