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# Use Python 3.9 as base image
FROM python:3.9-slim
# Set working directory
WORKDIR /app
# Create a non-root user
RUN useradd -m -u 1000 user && \
chown -R user:user /app
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
TRANSFORMERS_CACHE=/app/cache \
MPLCONFIGDIR=/app/matplotlib \
HOME=/app
# Copy requirements first to leverage Docker cache
COPY requirements.txt .
# Install dependencies and download required NLTK data
RUN pip install --no-cache-dir -r requirements.txt && \
python -m textblob.download_corpora && \
python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('wordnet')"
# Install additional system dependencies for sentence-transformers
RUN apt-get update && apt-get install -y \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Copy the rest of the application
COPY . .
# Create necessary directories and set permissions
RUN mkdir -p /app/cache /app/matplotlib && \
chown -R user:user /app
# Switch to non-root user
USER user
# Expose port 7860 for Gradio
EXPOSE 7860
# Set environment variables
ENV GRADIO_SERVER_NAME=0.0.0.0
# Command to run the application
CMD ["python", "app.py"]
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