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# 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=3.12.0
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 7860
# Run the application.
CMD uvicorn 'main:app' --host=0.0.0.0 --port=7860
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