# Setup Sbert\_eduplex

## Setup Sbert\_eduplex

### Directory structure:

* The file called `server.py` is the main file to run the application
* `.env` should be used to write down the initial parameters of the application. Logs should be automatically created.
* `requirements.txt` contains the requirements

### How to develop sbert with docker

* Run `docker-compose-socket-sbert.yml` (change the image version to force a rebuild)
* This will make the service available in [localhost:5000](http://localhost:5000/sbert_en/query=Examine%20images%20taken%20by%20telescopes%20in%20order%20to%20study%20phenomena%20and%20objects%20outside%20Earth%20atmosphere) without SSL

#### How to build sbert service for production

* Change the image version in `docker-compose-sbert.yml` (optionally use dockerfile `docker/child/Dockerfile` for a quick build without updating pip dependencies or `docker/Dockerfile` for a slower build from empty image)
* Run **docker-compose up** will create a new version tagged image
* Login to AWS ECR `aws ecr-public get-login-password --region us-east-1 --profile prdedupl | docker login --username AWS --password-stdin public.ecr.aws/eduplex_api` (change `prdedupl` with the name of your aws cli or `default` if you do not have many profiles)
* Push the image `docker push <image_tag>` (image\_tag from yml file)

## technical notes

* in pycharm there may be problems with dockers permissions, after locally installing Dockers and pycharm plugin, the following may be needed:

```
sudo chmod a+rwx /var/run/docker.sock
sudo chmod a+rwx /var/run/docker.pid
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.eduplex.eu/text-analysis/report/software-design/setup-sbert_eduplex.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.