Updated Readme

README.md

@@ -64,13 +64,28 @@ Seaborn: Latest version
 
 After downloading the project files in a project folder, do the following steps:
 
-Prerequisite: The rasa model is trained! (with `rasa train`)
+Prerequisite: You have Install all the required dependencies (pip install -r requirements.txt)
 
-1. `rasa run actions`
-2. `rasa run`
-3. `streamlit run main.py`
+1. Navigate to the rasa directory by running:
+    
+    cd rasa
+
+2. After changing the directory, Train the Rasa Model by running:
+    
+    rasa train
+
+3. Start the Rasa server with the following command:
+
+    rasa run
+
+4. Start the Rasa actions server in a separate terminal after changing directory(cd rasa):
+
+    rasa run actions
+
+5. Start the Streamlit application in a separate terminal using the following command in the root directory of the project:
+
+    streamlit run main.py
 
-Then call the streamlit URL, e.g. localhost:8051, in the browser.
 
 The webpage shows the main pages in the navigation bar on the left. All the entries are :
 about_me
@@ -156,7 +171,7 @@ This comprehensive implementation integrates both Logistic Regression for interp
 
 # Use Cases
 
-Explore the Use Cases Video : 
+Explore the Use Cases Video : https://drive.google.com/file/d/1C8KOnIdXIKIuEapnbXtiCTU6mKuw3n4u/view?usp=share_link
 
 # Wiki Reference