Dockerfile

# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# Dockerfile for Streamlit ABSA IndoBERT Web Application

FROM python:3.9-slim

# Create user for security
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"

# Set working directory
WORKDIR /app

# Copy requirements and install dependencies
COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt

# Download NLTK data yang diperlukan
RUN python -c "import nltk; nltk.download('punkt', quiet=True); nltk.download('punkt_tab', quiet=True)"

# Copy seluruh aplikasi
COPY --chown=user . /app

# Buat direktori yang diperlukan
RUN mkdir -p chache_file/sessions assets/model assets/tokenizer .streamlit

# Expose port 7860 (default Hugging Face Spaces)
EXPOSE 7860

# Set environment variables untuk Streamlit
ENV STREAMLIT_SERVER_PORT=7860
ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
ENV STREAMLIT_SERVER_HEADLESS=true
ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false

# Run Streamlit app
CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]