Updated readme file to latest version.

README.md

@@ -1,18 +1,56 @@
-## Installation
+# QC/QA Data Flagging Application
 
-Open a terminal or Anaconda Prompt with access to `conda', and follow these steps to set up the environment for the Flagging App:
+This repository hosts a Dash Plotly data flagging app for ACSM data structured in HDF5 format using the DIMA submodule. The provided Jupyter notebooks walk you through the steps to append metadata about diagnostic and target channels, which are necessary for the app to run properly.
 
-1. **Update Conda:**  
+## Getting Started
-   `conda update conda --yes`
 
-2. **Create a New Conda Environment:**  
+### Requirements
-   `conda create -n flaggingapp_env python=3.10 jupyter h5py numpy pandas scipy pyyaml plotly dash --yes`
 
-3. **Activate the Environment:**  
+For Windows users, the following are required:
-   `conda activate flaggingapp_env`
 
-4. **Install Jupyter Kernel:**  
+1. **Git Bash**: Git Bash will be used to run shell scripts (`.sh` files).
-   `python -m ipykernel install --user --name flaggingapp_env --display-name "Python (flaggingapp_env)"`
 
-5. **Install Additional Package:**  
+2. **Conda**: You must have [Anaconda](https://www.anaconda.com/products/individual) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html) installed on your system. Git Bash needs access to Conda to set up the environment properly. Ensure that Conda is added to your system’s PATH during installation.
-   `pip install igor2`
+
+3. **PSI Network Access (for data retrieval)**: Real data retrieval can only be performed when connected to the PSI network and with the appropriate access rights to the source network drive.
+
+## Clone the Repository
+
+Open a **Git Bash** terminal.
+
+1. Navigate to your GitLab folder, clone the repository, and navigate to the `acsmnode` folder:
+
+   ```bash
+   cd GitLab
+   git clone --recurse-submodules https://gitlab.psi.ch/apog/acsmnode.git
+   cd acsmnode
+   ```
+
+### Set Up the Python Environment
+
+Skip this step if the **Git Bash** terminal already has access to a suitable Python interpreter.
+
+Otherwise, set up an appropriate Python interpreter by running the following command:
+
+   ```bash
+   bash env_setup.sh
+   ```
+
+
+## Run the Dashboard App
+Run the following command to start the dashboard app:
+
+   ```bash
+   python data_flagging_app.py open
+   ```
+
+This command will launch the data flagging app.
+
+## Stop the Dashboard App
+
+Run the following command to stop the dashboard app:
+
+   ```bash
+   python data_flagging_app.py exit
+   ```
+This command will terminate the server process running the app.