update readme

README.md

@@ -26,13 +26,15 @@ There may be some requirements missed, please install as needed.
 All sub-models and the final ensemble classifier model were trained in advance. They are included inside the Data
 folder.
 
-All data used for live recommendation is in the Data folder. Since the Data folder is too large to be submitted,
-we will submit a representative subset of the data.
+All data used for live recommendation is in the Data folder. Since the Data folder is too large to be submitted, we will submit a representative subset of the data.
 
+### To start the UI:
 Start the interface with `python -m flask run`.
 
 If for some reason app does not start, try running `python app.py`.
 
+Server should be running on `127.0.0.1:5000`
+
 ## Source Code
 Codes are stored under `./Books` as `.ipynb` files, and named according to the order they should be run. 
 
@@ -73,10 +75,10 @@ Then, run the following file to generate recommendation for users:
 Run this file: `4_ensemble_final.ipynb`
 
 ----------------------------------------------------------------
+
 # Project Description
 In response to the overwhelming number of book choices online, which often leads to decision paralysis and wasted time, we propose the implementation of a Natural Language Processing (NLP) powered recommendation system to address this challenge.
 
-
 For full project description, see the report file in submission.
 
 ## Members: