Improved readme and user manual detection (#38)

Home.py

@@ -8,6 +8,7 @@
 
 if __name__ == "__main__":
     with open("README.md", "r") as readme:
-        app_description = "".join([next(readme) for _ in range(18)])
+        app_description = "".join(readme).split("# Installation")[0]
+
     st.markdown(app_description)
     session_console()

README.md

@@ -1,24 +1,25 @@
 # 🇪🇺 Eurostat Data Wizard
-A straightforward webapp to export easily multiple Eurostat datasets.
+A webapp to export easily multiple Eurostat datasets.
 
-## Lookup
+## User manual
+### 1. Lookup
 1. Search and select all variables that you find interesting: dataset containing them will be available in the `Data` page.
-## Data
+### 2. Data
 1. Choose an Eurostat dataset of interest (or start typing dataset code or title).
 2. After loading, you can inspect the dataset and filter indexes, flags and time-span with the controls provided in the sidebar.
 3. Every dataset that you inspect, along with your filtering choice, is saved and can be shown in the `Stash` page by ticking the dedicated checkbox. 
 4. You can repeat the process starting from _1_ for as many dataset as you like.
 
-## Stash
+### 3. Stash
 Stash it's where you can find every dataset that you inspected. The current stash will be reported here and you can _download_ it in a convenient gzipped csv.
 
-## Timeseries
+### 4. Timeseries
 Stash can also be inspected visually here as separated time series. In order to prevent long loading time, a message will inform you if the amount of variables to be plot are too high.
 
-## Correlations
+### 5. Correlations
 Stash time series how strong is the correlation across countries. In order to prevent long loading time, a message will inform you if the amount of variables to be plot are too high.
 
-# Instruction
+# Installation
 ## Run the app on localhost
 This is a [streamlit](https://streamlit.io/)-based app. Requirements are managed with [pipenv](https://pipenv.pypa.io/) (and it is highly suggested to use [pyenv](https://github.com/pyenv/pyenv) to manage python versions). 
 Clone the repo and you should be able to run this command:
@@ -27,6 +28,9 @@ pipenv run streamlit run Home.py
 ```
 Based on your environment configuration, you may required to satisfy some system dependencies in order to execute the app smoothly. Please refer to the [FAQ](#FAQ) section to solve common issues.
 
+## Live demo
+This is a memory intensive webapp, so the cloud use is discouraged. Anyway, a best-effort live demo can be found [here](https://eurostat-datawizard-lum4chi.streamlit.app).
+
 # Development
 App was developed with [vscode](https://code.visualstudio.com/). Use it to benefit from the `.vscode/settings.json` to configure testing environment.
 Install the full dev toolbox with the command: