Update readme.

README.md

@@ -2,7 +2,41 @@
 
 This project was done as part of the GLAMHack24, the Swiss Open Cultural Data Hackathon. See the [project description](https://hack.glam.opendata.ch/project/211).
 
-## Load csv data with curl
+## Goal
+
+With the [photos accessible on the Zentralgut website](https://zentralgut.ch/glasplatten_zug/),
+the Bibliothek Zug aims to bring the collection to a broader audience through the development of a mobile app. This app will notify users when they are near a location where one of the georeferenced photos from the "Glasplattensammlung Zug" was taken, offering a unique and immersive way to explore the region's history. This app provides a look into the past, allowing users to compare historical life and architecture with the present-day, offering a distinctive perspective on Zug's evolution over time.
+
+## Demo
+
+The demo installation can be accessed under https://photos.histify.app/
+
+## Solution
+
+This project provides a mobile web app (PWA), which allows to expierence the photos while walking through the city of Zug.
+The app is built in a way that it can be reused for other dataset and hosted by anywone.
+
+It consists of these components:
+
+- `frontend` - the web application
+- `api` - a small api for retrieving the data and uploading the data
+- `elasticsearch` - an elasticsearch installation hosting the data
+
+## Try it out
+
+The `compose-prod.yaml` provides a setup with which you can try out the application.
+In order for trying it out in a local machine, you need `git` and `docker` installed.
+Follow these steps:
+
+- clone the git repository
+- run `docker compose -f compose-prod.yml up -d`
+- visit http://localhost:8000/api/docs and upload a dataset
+  - you need to prepare your dataset in a CSV similar to `data/bibzug_glasplatten_adapted.csv`
+  - you need to authenticate with a bearer token, which is `dataimporttoken` in this setup
+  - you can also do it with curl; see below
+- visit http://localhost:8000 for testing the app
+
+## Load data with curl
 
 Sample data is in the `data` folder
 
@@ -16,19 +50,14 @@ curl -X 'POST' \
   -F 'file=@bibzug_glasplatten_adapted.csv;type=text/csv'
 ```
 
+In order to do that, you need an api key.
 
 
-## Set up local directories for docker-compose and elastic kiban
+## Development environment
 
-Do this in app root folder :
-```
-mkdir esdata01
-mkdir esdata02
-mkdir kibanadata
-chmod g+rwx esdata01
-chmod g+rwx esdata02
-chmod g+rwx kibanadata
-sudo chgrp 0 esdata01
-sudo chgrp 0 esdata02
-sudo chgrp 0 kibanadata
-```
+You can start the development environment within docker containers:
+
+- clone the git repository
+- run `docker compose build`
+- run `docker compose up -d`
+- visit http://localhost:8000