# syntax=docker/dockerfile:1 # Comments are provided throughout this file to help you get started. # If you need more help, visit the Dockerfile reference guide at # https://docs.docker.com/go/dockerfile-reference/ # Want to help us make this template better? Share your feedback here: https://forms.gle/ybq9Krt8jtBL3iCk7 ARG PYTHON_VERSION=3.11.9 FROM python:${PYTHON_VERSION}-slim as base # Prevents Python from writing pyc files. ENV PYTHONDONTWRITEBYTECODE=1 # Keeps Python from buffering stdout and stderr to avoid situations where # the application crashes without emitting any logs due to buffering. ENV PYTHONUNBUFFERED=1 WORKDIR /app # Create a non-privileged user that the app will run under. # See https://docs.docker.com/go/dockerfile-user-best-practices/ ARG UID=10001 RUN adduser \ --disabled-password \ --gecos "" \ --home "/nonexistent" \ --shell "/sbin/nologin" \ --no-create-home \ --uid "${UID}" \ appuser # Download dependencies as a separate step to take advantage of Docker's caching. # Leverage a cache mount to /root/.cache/pip to speed up subsequent builds. # Leverage a bind mount to requirements.txt to avoid having to copy them into # into this layer. RUN --mount=type=cache,target=/root/.cache/pip \ --mount=type=bind,source=requirements.txt,target=requirements.txt \ python -m pip install -r requirements.txt # Switch to the non-privileged user to run the application. USER appuser # Set the TRANSFORMERS_CACHE environment variable ENV TRANSFORMERS_CACHE=/tmp/.cache/huggingface # Create the cache folder with appropriate permissions RUN mkdir -p $TRANSFORMERS_CACHE && chmod -R 777 $TRANSFORMERS_CACHE # Set NLTK data directory ENV NLTK_DATA=/tmp/nltk_data # Create the NLTK data directory with appropriate permissions RUN mkdir -p $NLTK_DATA && chmod -R 777 $NLTK_DATA # Copy the source code into the container. COPY . . # Expose the port that the application listens on. EXPOSE 8000 # Run the application. CMD uvicorn 'main:app' --host=0.0.0.0 --port=7860