Fix the main README

README.md

@@ -8,74 +8,7 @@
 TensorMap is a web application that will allow the users to create machine learning algorithms visually. TensorMap supports reverse engineering of the visual layout to a Tensorflow implementation in preferred languages. The goal of the project is to let the beginners play with machine learning algorithms in Tensorflow without less background knowledge about the library. For more details about the project, read our [project wiki.](https://github.com/scorelab/TensorMap/wiki)
 
 ## Getting Started
-Follow these steps to set up TensorMap on your local machine.
-
-First clone this repo by running
-```bash
-
-git clone https://github.com/scorelab/TensorMap.git
-```````````````````````````
-
-### Setting up Frontend
-
-#### Prerequisites
-* Node.js
-* Yarn
-* Npm
-
-```bash
-cd TensorMap
-cd tensormap-client
-yarn install
-npm start
-```
-
-### Setting up Backend
-
-First make sure you have MySQL server and Python 3.x installed in your system.
-
-Then, go into 'tensormap-server' folder
-
-```bash
-cd TensorMap
-cd tensormap-server
-```
-
-Then, install all the required packages by running
-
-```bash
-pip install -r requirements.txt
-```
-
-Next, login to MySQL and create a database named 'tensormap'
-
-```bash
-mysql -u <user> -p
-CREATE DATABASE tensormap;
-```
-
-Then in the '__init__' file that is inside the 'app' folder, replace the database connection string with your username and password
-
-```bash
-app.config['SQLALCHEMY_DATABASE_URI'] = "mysql://<user>:<password>@localhost/tensormap"
-```
-
-Next, restore the sql dump
-```bash
-mysql -u {user} -p -Dtensormap < {path-to-dump-file}/dump.sql
-```
-
-To start the server run
-
-```bash
-python run.py
-```
-
-## Built With
-
-* [Reactjs](https://reactjs.org/docs/getting-started.html) : Frontend  
-* [Flask](http://flask.pocoo.org/) : Backend
-* [TensorFlow - Keras](https://www.tensorflow.org/) : Model implemetation
+Follow these steps the steps in the `tensormap-server` and `tensormap-client` directories to setup each component. 
 
 ## Contributing