Dockerfile

FROM python:3.10-slim

# Set environment variables
ENV TRANSFORMERS_CACHE=/data/transformers

# Install system dependencies
RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*

# Create writable cache directory
RUN mkdir -p /data/transformers

# Set working directory
WORKDIR /app

# Copy project files
COPY . .

# Install Python packages
RUN pip install --no-cache-dir -r requirements.txt

# Download Hugging Face model at build time (optional but recommended for faster app startup)
RUN python -c "from transformers import AutoTokenizer, AutoModel; \
    AutoTokenizer.from_pretrained('aNameNobodyChose/quote-caster-encoder', cache_dir='/data/transformers'); \
    AutoModel.from_pretrained('aNameNobodyChose/quote-caster-encoder', cache_dir='/data/transformers')"

# Expose Gradio's default port
EXPOSE 7860

# Run the Gradio app
CMD ["python", "app.py"]