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Dockerfile (877, 2020-02-12)
Jenkinsfile (3030, 2020-02-12)
images (0, 2020-02-12)
images\seeds.png (88117, 2020-02-12)
metadata.json (3178, 2020-02-12)

# DEEP as a Service container for seeds classification [](https://jenkins.indigo-datacloud.eu/job/Pipeline-as-code/job/DEEP-OC-org/job/DEEP-OC-seeds-classification-tf/job/master) This is a container that will run the DEEP as a Service API component. From the DEEPaas API the user can choose the model to train or to predict, together with the basic input parameters. ## Run the container ### Directly from Docker Hub To run the Docker container directly from Docker Hub and start using the API simply run the following command: ```bash $ docker run -ti -p 5000:5000 -p 6006:6006 -p 8888:8888 deephdc/deep-oc-seeds-classification-tf ``` This command will pull the Docker container from the Docker Hub [`deephdc`](https://hub.docker.com/u/deephdc/) organization. ### Building the container If you want to build the container directly in your machine (because you want to modify the `Dockerfile` for instance) follow the following instructions: Building the container: 1. Get the `DEEP-OC-seeds-classification-tf` repository (this repo): ```bash $ git clone https://github.com/deephdc/DEEP-OC-seeds-classification-tf ``` 2. Build the container: ```bash $ cd DEEP-OC-seeds-classification-tf $ docker build -t deephdc/deep-oc-seeds-classification-tf . ``` 3. Run the container: ```bash $ docker run -ti -p 5000:5000 -p 6006:6006 -p 8888:8888 deephdc/deep-oc-seeds-classification-tf ``` You can also run Jupyter Lab inside the container: ```bash $ docker run -ti -p 5000:5000 -p 6006:6006 -p 8888:8888 deephdc/deep-oc-seeds-classification-tf /bin/bash $root@47a6604ef008:/srv# jupyter lab --allow-root ``` These three steps will download the repository from GitHub and will build the Docker container locally on your machine. You can inspect and modify the `Dockerfile` in order to check what is going on. For instance, you can pass the `--debug=True` flag to the `deepaas-run` command, in order to enable the debug mode. ## Connect to the API Once the container is up and running, browse to `http://localhost:5000/ui` to get the [OpenAPI (Swagger)](https://www.openapis.org/) documentation page.

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