Dockerfile

# Use official lightweight Python image
FROM python:3.10-slim

# Create a secure, non-root user (required by Hugging Face Spaces)
RUN useradd -m -u 1000 user

# Set up environment variables
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    PYTHONUNBUFFERED=1 \
    HF_HOME=/home/user/.cache/huggingface

# Set working directory
WORKDIR $HOME/app

# Copy requirements
COPY --chown=user requirements.txt .

# Install dependencies using CPU-only extra index to prevent massive GPU CUDA installations
RUN pip install --no-cache-dir --upgrade -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu

# Pre-cache the standard PyTorch DistilBERT model during the image build process
# This guarantees instant startup times when the Space boots up.
RUN python -c "from transformers import pipeline; pipeline('token-classification', model='samuelolubukun/pii-ner-finetuned-distilbert')"

# Copy the rest of the application files
COPY --chown=user . .

# Switch to the non-root user
USER user

# Expose port 7860
EXPOSE 7860

# Start the application on port 7860
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]