47 lines
1.1 KiB
Docker
47 lines
1.1 KiB
Docker
# Use Python 3.8 slim image
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FROM python:3.8-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies required for ML libraries
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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wget \
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&& rm -rf /var/lib/apt/lists/*
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# Upgrade pip to version 25 (latest available)
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RUN pip install --upgrade pip
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# Copy requirements first for better caching
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COPY requirements_docker.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements_docker.txt
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# Download NLTK data
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RUN python -c "import nltk; nltk.download('punkt'); nltk.download('stopwords')"
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# Copy application code
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COPY . .
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# Create necessary directories for file uploads and static files
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RUN mkdir -p static/files
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# Set environment variables
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ENV FLASK_APP=app.py
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ENV FLASK_ENV=production
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ENV PYTHONUNBUFFERED=1
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# Expose port
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EXPOSE 8080
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# Create non-root user for security
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RUN useradd --create-home --shell /bin/bash app \
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&& chown -R app:app /app
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USER app
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# Command to run the application
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CMD ["python", "-m", "gunicorn", "--bind", "0.0.0.0:8080", "--workers", "1", "--timeout", "120", "app:app"]
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