Update README.md

IT17160162/README.md

@@ -4,7 +4,7 @@
 
 1. Need Python3
 1. Insall NLTK :  `pip3 install --user -U nltk`
-2. Terminal :
+Terminal :
 ```
 python3
 >>> import nltk
@@ -13,14 +13,30 @@ python3
 >>> nltk.download('punkt')
 >>> nltk.download('averaged_perceptron_tagger')
 ```
+`pip install -U gensim`
 
 3. Run `python3 pre-processing.py`
 4. To create tokens, run `python3 token-finder.py`
 5. Install mat-plot, `pip3 install matplotlib` (Need for historgram image)
 6. To generate historgram, run `python3 histogram-finder.py`
 7. Run `corpus-builder.py`, to generate final corpus
-
-
+8. Run `python3 gensim-w2v.py`, to embedd the model
+9. Run `python3 ranker.py`, to get the rankins with test data
+
+Run Server
+10. Run `pip3 install pdf`
+11. Run `pip3 install pyPdf`
+12. Run `pip3 install slate3k`
+13. Run `pip3 install lask-cors`
+14. Run, `pip3 install flask`
+15. Run `python3 app.py`, to start the backend server
+
+
+Run WebApp
+16. Go inside the webapp folder. `cd webapp`
+17. Run `yarn install` to install all dependencies
+18. Run `yarn start` to start the webapp front end
+19. Goto your browser for `http://localhost:8080/`
 
 # Folder Structure