update README

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 # [NijiTrack](https://nijitracker.com/)
-NijiTrack is a set of Python scripts that allows for the visualization and collection of historical subscriber count data for any set of YouTube Channels.
+
+Historical subscriber count tracker for any subset of YouTube channels. Flask backend and NextJS frontend for visualization.
+
+This was originally made with the intention of tracking the subscriber count of Virtual YouTubers in the Nijisanji organization, but can be used for any set of channels.
+
+
+# Backend:
+Below are the steps to set up the flask backend for data collection and serving data through a web server (`/backend` folder of repo)
 
 ### Dependencies
 - MariaDB or MySQL
@@ -19,28 +26,14 @@ HOLODEX_ORG = "Phase%20Connect"
 ORG_MEMBER_COUNT = 75
 ```
 2. Add channels to be excluded from data collection in `data/excluded_channel.txt`
-3. Execute with `python main.py`
+3. Execute with `python nijitrack.py`
 #### For collection using a custom set of channels configured in `data/channels.txt`
 1. Configure channels in data/channels.txt in the format `YOUTUBE_CHANNEL_ID,CHANNEL_NAME` for each line
-2. Execute with `python main.py ytapi`
-
-An `index.html` is created in your root directory and channel individual pages is created in `stats/*`
-You can use `app.py` to host your statics through Flask or use any other services
-
-### Homepage Subscriber Ranking
-# <img src="https://user-images.githubusercontent.com/21994085/229314684-af00962a-b363-4337-9ab1-9f41ed7cc7e1.png" alt="image" width="50%" height="50%">
-
-### Individual Page Infocards
-# <img src="https://user-images.githubusercontent.com/21994085/229314672-0aa5471a-6991-4018-b684-66e19e0bb34e.png" alt="image" width="50%" height="50%">
-
-### General Trend Graph
-# <img src="https://user-images.githubusercontent.com/21994085/229314680-0fce8104-f369-4a4c-9c3e-f982a277f03e.png" alt="image" width="50%" height="50%">
+2. Execute with `python nijitrack.py ytapi`
 
-### 7 Day Trend (Data point is recorded each time program is ran)
-# <img src="https://user-images.githubusercontent.com/21994085/229314728-fe62ee87-9b8c-4995-8745-f194995d9efd.png" alt="image" width="50%" height="50%">
+A basic graph will be created using plotly and saved to index.html in the root directory
 
-### Individual daily subscriber data
-# <img src="https://user-images.githubusercontent.com/21994085/229314763-eeb94642-32a3-49d3-862e-375280f0d6fb.png" alt="image" width="50%" height="50%">
+You can use `app.py` to host your statistics through Flask or use any other services
 
 
 Webpage design inspired by [TrackHololive](https://trackholo.live/)