Created the Docker configuration
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.dockerignore
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Dockerfile
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README.md
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*.pyc
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*.pyo
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*.pyd
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__pycache__
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.pytest_cache
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Dockerfile
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Dockerfile
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# Use the official lightweight Python image.
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# https://hub.docker.com/_/python
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FROM python:3.11-slim
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# Allow statements and log messages to immediately appear in the logs
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ENV PYTHONUNBUFFERED True
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# Copy local code to the container image.
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ENV APP_HOME /app
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WORKDIR $APP_HOME
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COPY . ./
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# Install production dependencies.
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RUN pip install --no-cache-dir -r requirements.txt
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# Run the web service on container startup. Here we use the gunicorn
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# webserver, with one worker process and 8 threads.
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# For environments with multiple CPU cores, increase the number of workers
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# to be equal to the cores available.
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# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
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CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 main:app
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BIN
requirements.txt
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requirements.txt
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