Update setup.md

learners/setup.md

@@ -109,7 +109,7 @@ Conda should already be available in your system once you installed Anaconda suc
 1. Make sure you have an up-to-date version of Conda running.
    See [these instructions](https://docs.anaconda.com/anaconda/install/update-version/) for updating Conda if required.
 
-2. Create the Conda Environment: To create a conda environment called `trustworthy_ML` with the required packages, open a terminal (Mac/Linux) or Anaconda prompt (Windows) and type the below command. This command creates a new conda environment named `trustworthy_ML` and installs the necessary packages from the `conda-forge` and `pytorch` channels.
+2. Create the Conda Environment: To create a conda environment called `trustworthy_ML` with the required packages, open a terminal (Mac/Linux) or Anaconda prompt (Windows) and type the below command. This command creates a new conda environment named `trustworthy_ML` and installs the necessary packages from the `conda-forge` and `pytorch` channels. When prompted to Proceed ([y]/n) during environment setup, press y. It may take around 10-20 minutes to complete the full environment setup. Please reach out to the workshop organizers sooner rather than later to fix setup issues prior to the workshop. 
 
     ```sh
     conda create --name trustworthy_ML python=3.9 jupyter scikit-learn pandas umap-learn pytorch torchvision torchaudio -c conda-forge -c pytorch
@@ -129,8 +129,7 @@ Conda should already be available in your system once you installed Anaconda suc
 
 
 ### Notes:
-- conda-forge Channel:
-    - `conda-forge` is a community-driven conda channel that provides a wide array of up-to-date packages, ensuring better compatibility and a more extensive package library.
+- conda-forge Channel: The `conda-forge` is a community-driven conda channel that provides a wide array of up-to-date packages, ensuring better compatibility and a more extensive package library.
 
 ### Starting Jupyter Lab