# Additional files in the repository In order to give you a smooth experience while comprehending this example, all non-notebook files are presented on this page in one place. In reality, these files should be in your project's top-level directory. ## config.ini ```ini title="config.ini" ENVIRONMENT = DEVELOPMENT ENVIRONMENT = ENV:ENVIRONMENT MONGO_CONNECTION_STRING=ENV:MONGO_CONNECTION_STRING MONGO_DATABASE=highlights AWS_REGION_NAME = eu-west-2 AWS_ACCESS_KEY_ID = MY_DEFAULT_AWS_ACCESS_KEY_ID_FOR_DEVELOPMENT AWS_SECRET_ACCESS_KEY = MY_DEFAULT_AWS_SECRET_ACCESS_KEY_FOR_DEVELOPMENT LARGE_FILES_BUCKET_NAME = my-orgs-large-files AWS_REGION_NAME = ENV:AWS_REGION_NAME AWS_ACCESS_KEY_ID = ENV:AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY = ENV:AWS_SECRET_ACCESS_KEY LARGE_FILES_BUCKET_NAME = ENV:LARGE_FILES_BUCKET_NAME ``` > All necessary configuration which is read by [great_ai.utilities.ConfigFile][]. This will resolve values starting with `ENV:` from your environment variables. ## requirements.txt ```requirements.txt title="requirements.txt" torch==1.12.0 transformers==4.20.1 numpy==1.23.0 ``` > Usually, it is recommended to pin (freeze) the library versions on which we depend. This file is referenced by the [Dockerfile](#dockerfile). ## Dockerfile ```Dockerfile title="Dockerfile" FROM schmelczera/great-ai:v0.1.6 COPY requirements.txt ./ RUN pip install --no-cache-dir --requirement requirements.txt COPY . ./ RUN large-file --backend s3 --secrets s3.ini --cache scibert-highlights CMD ["deploy.ipynb"] ``` > This is used by the CD pipeline to create the production deployment of the service. ## .dockerignore ```dockerignore title=".dockerignore" .cache .git data .gitignore .env .vscode .dockerignore Dockerfile .mypy_cache .gitignore **/__pycache__ **/.DS_Store README.md ``` > It is useful not to send, for example, the `.cache` folder used by LargeFile to the docker daemon; this will speed up your local build times substantially. !!! Note ".gitignore" A very similar looking `.gitignore` file should also be present.