Minor README Updates for Installation

.github/pull_request_template.md

@@ -6,7 +6,6 @@ Github Issue Number Here: <YOUR_GITHUB_ISSUE_NUMBER_HERE (include the hashtag)>
 **What solution does this PR provide?**
 
 **Testing Methodology**
-> How did you test your changes and verify that existing 
-> functionality is not broken
+> How did you test your changes and verify that existing functionality is not broken
 
 **Any other considerations**

README.md

@@ -2,16 +2,15 @@
 
 Web Application where people new to Machine Learning can input a dataset and experiment around with basic Pytorch modules through a drag and drop interface
 
-> **Deployed website:** https://datasciencegt-dlp.com/ </br> > **GitHub repo:** https://github.com/DSGT-DLP/Deep-Learning-Playground
+> **Deployed website:** https://datasciencegt-dlp.com </br> **GitHub repo:** https://github.com/DSGT-DLP/Deep-Learning-Playground
 
 # Getting Started
 
 ### Prerequisites
 
 Have the following installed first:
 
-1. [Node.js v18 via NVM](https://github.com/nvm-sh/nvm#installing-and-updating) (Install nvm first, and then install node & npm using nvm)
-1. [Yarn 1.x](https://classic.yarnpkg.com/lang/en/docs/install) (Must be installed after npm. May upgrade to Yarn Modern in the future, keep an eye out for that!)
+1. [Node.js v20 via NVM](https://github.com/nvm-sh/nvm#installing-and-updating) (Install nvm first, and then install node & npm using nvm)
 1. [Mamba](https://github.com/conda-forge/miniforge#miniforge) (Make sure to install using the Miniforge distribution. On windows, remember to check the box that says that it will add mamba to path)
 1. [pip](https://pip.pypa.io/en/stable/installation/) (Is also automatically installed with Python via Python's installer, make sure this version of pip is installed globally)
 1. [dlp-cli](https://github.com/DSGT-DLP/dlp-cli#readme) (We have our own cli!)
@@ -21,12 +20,13 @@ Have the following installed first:
 
 ### Recommended
 
-1. [GitKraken](https://help.gitkraken.com/gitkraken-client/how-to-install/) for helping with Git commands, especially if you're new to Git
-1. [Postman](https://www.postman.com/downloads/) (Extremely helpful for testing REST APIs)
-1. [Chrome](https://www.google.com/chrome/) (For Chrome developer tools)
-1. [Redux Devtools](https://chrome.google.com/webstore/detail/redux-devtools/lmhkpmbekcpmknklioeibfkpmmfibljd) (Helpful for debugging any Redux)
-1. [Docker](https://www.docker.com/)
-1. [go](https://go.dev/doc/install) (In case if you ever need to contribute to the dlp-cli)
+1. [GitHub Student Developer Pack](https://education.github.com/pack) - Get GitHub Pro features and GitHub Copilot access for free
+1. [GitKraken](https://help.gitkraken.com/gitkraken-client/how-to-install/) - for helping with Git commands, especially if you're new to Git
+1. [Postman](https://www.postman.com/downloads/) - Extremely helpful for testing REST APIs
+1. [Chrome](https://www.google.com/chrome/) - For Chrome developer tools
+1. [Redux Devtools](https://chrome.google.com/webstore/detail/redux-devtools/lmhkpmbekcpmknklioeibfkpmmfibljd) - Helpful for debugging any Redux
+1. [Docker](https://www.docker.com/) - For Docker images
+1. [go](https://go.dev/doc/install) - In case if you ever need to contribute to the dlp-cli
 1. VSCode Extensions:
    1. [Github Copilot](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot)
    1. [IntelliCode](https://marketplace.visualstudio.com/items?itemName=VisualStudioExptTeam.vscodeintellicode)
@@ -37,13 +37,20 @@ Have the following installed first:
    1. [Docker](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-docker)
    1. [Go](https://marketplace.visualstudio.com/items?itemName=golang.Go)
 
-## Clone the Repository
+## 1. Clone the Repository
 
-`git clone https://github.com/DSGT-DLP/Deep-Learning-Playground.git` in the directory of your choice. If this installation is for the beginner project, do `git clone https://github.com/DSGT-DLP/dlp-practice.git`.
+If you want the **main** project, run in the directory of your choice:
+```sh
+git clone https://github.com/DSGT-DLP/Deep-Learning-Playground.git
+```
+
+If this installation is for the **beginner project**, instead do:
+```sh
+git clone https://github.com/DSGT-DLP/dlp-practice.git
+```
 
-This can also be achieved through GitKraken.
 
-## Frontend and Backend Package Installation
+## 2. Frontend and Backend Package Installation
 
 Run the following commands in the project directory (the root folder created after cloning):
 
@@ -52,7 +59,7 @@ Run the following commands in the project directory (the root folder created aft
 | Install/Update Frontend Packages | `dlp-cli frontend install` |
 | Install/Update Backend Packages  | `dlp-cli backend install`  |
 
-## GitGuardian Pre-commit Check
+## 3. GitGuardian Pre-commit Check
 
 To install the GitGuardian cli and pre-commit, run
 
@@ -75,13 +82,13 @@ ggshield auth login
 
 If this command works properly, you will be redirected to an auth route in the Git Guardian website. **Sign in using your Github account**. Then, you should be all set!
 
-## Additional VSCode Setup (Recommended)
+### Additional VSCode Setup (Recommended)
 
 Access the VSCode command palette via `Ctrl+Shift+P`. Press `Python: Select Interpreter`. You need the Python VSCode extension for this.
 
 Select the Python Interpreter named `dlp`.
 
-## To start on localhost:
+## 4. To start on localhost
 
 Run the following commands in the project directory (the root folder created after cloning):
 
@@ -90,9 +97,12 @@ Run the following commands in the project directory (the root folder created aft
 | Running the Frontend | `dlp-cli frontend start` |
 | Running the Backend  | `dlp-cli backend start`  |
 
-Make sure to run the above two commands in separate terminals.
+Make sure to run the above two commands in separate terminals. You should see these Terminal messages and be able to go to these URLs on success:
+
+![](.github/readme_images/frontend_start.png)
+![](.github/readme_images/backend_start.png)
 
-## AWS Setup
+## 5. AWS Setup
 If you will be working on tasks that interface with AWS resources/services, please follow the below steps (please install AWS CLI using this [link](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) first):
 
 1. Request an AWS Account for Deep Learning Playground by messaging Faris, Karthik, or Daniel in the DLP Discord. Please include your Github username along with your personal email account
@@ -112,7 +122,7 @@ If you will be working on tasks that interface with AWS resources/services, plea
    1. Run `cat ~/.aws/config` to look for the sso profile configured.
    1. Run `export AWS_PROFILE=<sso_profile_name from step 6>`
 
-Please message in the DLP Discord if you have any difficulty/issue with these steps. 
+Please message in the DLP Discord or view the [Bug Manual page](https://github.com/DSGT-DLP/Deep-Learning-Playground/wiki/Bug-Manual) if you have any difficulty/issue with these steps. 
 
 # Architecture
 

frontend/src/common/redux/userLogin.ts

@@ -21,7 +21,6 @@ import { auth } from "@/common/utils/firebase";
 import { FirebaseError } from "firebase/app";
 import storage from "local-storage-fallback";
 import { backendApi } from "./backendApi";
-import { isNameValid } from "../utils/nameFormat";
 
 export interface UserState {
   user?: UserType | "pending";