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Add load image, Dockerfile e requirements
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45
FlaskAPI/Dockerfile
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45
FlaskAPI/Dockerfile
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# syntax=docker/dockerfile:1
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# Comments are provided throughout this file to help you get started.
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# If you need more help, visit the Dockerfile reference guide at
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# https://docs.docker.com/engine/reference/builder/
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ARG PYTHON_VERSION=3.10.12
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FROM python:${PYTHON_VERSION}-slim as base
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# Prevents Python from writing pyc files.
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ENV PYTHONDONTWRITEBYTECODE=1
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# Keeps Python from buffering stdout and stderr to avoid situations where
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# the application crashes without emitting any logs due to buffering.
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ENV PYTHONUNBUFFERED=1
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WORKDIR /app
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# Copy the source code into the container.
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COPY . .
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RUN apt-get update && apt-get install -y imagemagick && apt-get install -y wget && ls
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RUN wget https://files.ivanch.me/api/public/dl/iFuXSNhw/small-image.png && \
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wget https://files.ivanch.me/api/public/dl/81Bkht5C/big-image.png && \
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wget https://files.ivanch.me/api/public/dl/nAndfAjK/video.mp4 && \
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rm -rf runtimes && \
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mkdir -p ./static && \
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mv small-image.png ./static && \
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mv big-image.png ./static && \
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mv video.mp4 ./static
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# Download dependencies as a separate step to take advantage of Docker's caching.
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# Leverage a cache mount to /root/.cache/pip to speed up subsequent builds.
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# Leverage a bind mount to requirements.txt to avoid having to copy them into
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# into this layer.
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RUN --mount=type=cache,target=/root/.cache/pip \
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--mount=type=bind,source=requirements.txt,target=requirements.txt \
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python -m pip install -r requirements.txt
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# Expose the port that the application listens on.
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EXPOSE 5000
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# Run the application.
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CMD gunicorn 'app:app' --bind=0.0.0.0:5000
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