Update README.md

README.md

@@ -2,12 +2,12 @@
 
 This project is based on the dataset available at https://www.kaggle.com/c/tweet-sentiment-extraction/overview which is composed of about 20k tweets to train sentiment predictors.
 
-The "TweetsSentimentPredictions.ipynb" notebook will guide you through the process of tweets cleaning (a very basic NLP task when dealing with text data), training a few Deep Learning models with different architectures.
+The "TweetsSentimentPredictions.ipynb" notebook will guide you through the process of tweets cleaning (a very basic NLP task when dealing with text data), training a few Deep Learning models with different architectures and doing some sample predictions. 
 
 
 # Sentiment Predictor Web App (Flask)
 
-### How to use (with Docker)
+### How to run (with Docker)
 
 Step 1 -> git clone
 
@@ -16,7 +16,11 @@ Step 2 -> docker build -t flaskapp .
 Step 3 -> docker run -p 8000:8000 flaskapp
 
 
-### Without docker (Install the following libraries before running the app)
+### Without docker 
+
+Step 1 -> git clone
+
+Step 2 -> Install the following python libraries :-
 
 numpy==1.19.2 or later
 
@@ -26,5 +30,7 @@ Keras ==2.4.3 or later
 
 Flask ==1.1.2 or later
 
+Step 3-> python app.py
+