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@@ -357,7 +357,7 @@ As seen in the  we have tracked the train acc
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For our project we developed several images: one for training, one for evaluating the model, one for the deployment backend and frontend.
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And example of how to run one of our docker files can be seen below:
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The following is a link to the evaluate docker file: <https://github.com/s204431/mlops-CAPTCHA/blob/main/dockerfiles/evaluate.dockerfile>
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You can build this dockerfile by running the following command from the root of the project: `docker build -f dockerfiles/evaluate.dockerfile . -t eval:latest?
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You can build this dockerfile by running the following command from the root of the project: `docker build -f dockerfiles/evaluate.dockerfile . -t eval:latest` command.
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You can run the docker image created by the previous command by running the following command: `docker run --name eval1 eval:latest`
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To run this dockerfiles successfully you need to have a trained model in the models folder: models/model.pth.
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