Dockerfile

# Use a suitable Python base image (Updated to bookworm)
FROM python:3.11-slim-bookworm

# Install tini for process supervision
RUN apt-get update && apt-get install -y tini && rm -rf /var/lib/apt/lists/*

# Set the working directory inside the container
WORKDIR /app

# Set environment variable for Hugging Face cache directory to a writable location
ENV HF_HOME=/app/.cache/huggingface

# Create the cache directory and set permissions
RUN mkdir -p $HF_HOME && chmod -R 777 $HF_HOME

# Copy the requirements.txt file into the working directory
COPY requirements.txt .

# Install the Python dependencies
# Also install the SpaCy model directly using pip
RUN pip install --no-cache-dir -r requirements.txt && \
    python -m spacy download en_core_web_sm

# Copy the api.py file into the working directory
COPY api.py .

# Copy any other necessary files (like .env if used for non-secrets)
# If you have a .env file for non-secret configuration, uncomment and copy it
# COPY .env .

# Use tini as the entrypoint and then execute the CMD
ENTRYPOINT ["/usr/bin/tini", "--"]

# Define the command to run the FastAPI application using Uvicorn
CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8000"]