updates

README.md

@@ -19,7 +19,9 @@ A Flask-based web application that provides personalized recommendations for Net
 - Content-based recommendations based on TF-IDF and cosine similarity
 - Search and autocomplete functionality
 - Visualizations of Netflix content distribution
-- Works on both macOS and Windows
+- Deployed on huggingface for easiest access
+- Works on both macOS and Windows locally
+- Docker deployment available
 
 ## Prerequisites
 Ensure you have the following installed:
@@ -84,20 +86,15 @@ The app will be available at:
 Access app at [http://0.0.0.0:7860] or [http://localhost:7860]
 
 
-## Frontend Development
-If making changes to the frontend, ensure Node.js dependencies are installed. Run:
-
-```sh
-npm run dev
-```
-
 ## File Structure
 
 ```
-flick_picker/
+finalcapstone/
+│── Dockerfile                # For huggingface or local easy deployment
+│── README.md                 # Info and instructions on how to build and run
 │── recommend_app.py          # Flask API entry point
-│── recommendation_engine.py  # Content-based filtering logic
-│── netflix_titles.csv        # Dataset file
+│── recommendation_engine.py  # Machine Learning Recommendation Engine
+│── netflix_titles.csv        # Dataset file from Kaggle.com
 │── requirements.txt          # Python dependencies
 │── package.json              # Frontend dependencies
 │── static/
@@ -121,7 +118,7 @@ deactivate
 ```sh
 venv\Scripts\deactivate
 ```
-#### DOCKER Deployment (EASY MODE)
+## DOCKER Deployment (EASY local deployment using Docker)
 
 ```sh
 docker build -t my-recommend-app .