Dockerfile

# Use an official Python runtime as a parent image (e.g., 3.11 or 3.12)
FROM python:3.11-slim

# Set the working directory in the container
WORKDIR /app

# Install system dependencies if needed (e.g., build-essential if compiling fastBPE)
# RUN apt-get update && apt-get install -y --no-install-recommends build-essential && rm -rf /var/lib/apt/lists/*

# Copy the requirements file into the container first (for Docker caching)
COPY requirements.txt requirements.txt

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

# Copy the application code and necessary files into the container
# IMPORTANT: This assumes 'fast' is pre-compiled for Linux x86_64
COPY app.py .
COPY hoc_best.pt .
COPY bpecodes .
COPY dict.txt .
COPY fastbpe_exec .
COPY templates/ ./templates/

# Ensure the 'fast' binary is executable within the container
RUN chmod +x ./fastbpe_exec

# Make port 5000 available (as defined in README.md and app.py)
EXPOSE 5000

# Define environment variable for Python output buffering
ENV PYTHONUNBUFFERED=1

# Run the app using waitress (a production-ready WSGI server)
# Assumes your Flask app instance is named 'app' in 'app.py'
CMD ["waitress-serve", "--host=0.0.0.0", "--port=5000", "app:app"]