readme updated

README.md

@@ -1,81 +1,57 @@
-# Content-Based Book Recommender System
-
-  
-
-This is a content-based book recommender system built using **Streamlit**. It takes a book title as input and generates up to 5 recommendations based on content similarity. The recommendations combine textual similarity (TF-IDF) and semantic similarity (Sentence Transformers). The system also handles typos and invalid inputs.
-
-  
-
+---
+title: Book Recommender
+emoji: 📉
+colorFrom: gray
+colorTo: blue
+sdk: streamlit
+sdk_version: 1.41.1
+app_file: app.py
+pinned: false
+short_description: A basic book recommender system
 ---
 
-  
-
-## Features
-
-  
-
-1.  **Content-Based Recommendations**:
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-- Combines TF-IDF and semantic similarity to recommend books.
 
-- Handles typos and approximate matches using fuzzy matching.
+# Content-Based Book Recommender System
 
-  
+This is a content-based book recommender system built using **Streamlit**. It takes a book title as input and generates up to 5 recommendations based on content similarity. The recommendations combine textual similarity (TF-IDF) and semantic similarity (Sentence Transformers). The system also handles typos and invalid inputs.
 
-2.  **Error Handling**:
+---
 
-- Ensures graceful failure for invalid inputs or system errors.
+## Features
 
-- Provides fallback recommendations when similarity scores are insufficient.
+1. **Content-Based Recommendations**:
+   - Combines TF-IDF and semantic similarity to recommend books.
+   - Handles typos and approximate matches using fuzzy matching.
 
-  
+2. **Error Handling**:
+   - Ensures graceful failure for invalid inputs or system errors.
+   - Provides fallback recommendations when similarity scores are insufficient.
 
-3.  **Interactive UI**:
+3. **Interactive UI**:
+   - Built with Streamlit for a user-friendly interface.
 
-- Built with Streamlit for a user-friendly interface.
 
-  
-  
-  
 
 ## Dependencies and Functionality
-
 1. pandas:
-
-- Handles data loading, preprocessing, and manipulation.
-
-  
+    Handles data loading, preprocessing, and manipulation.
 
 2. scikit-learn:
-
-- Provides TF-IDF vectorization and NearestNeighbors for similarity search.
-
-  
+    Provides TF-IDF vectorization and NearestNeighbors for similarity search.
 
 3. sentence-transformers:
-
-- Generates semantic embeddings for textual data.
-
-  
+    Generates semantic embeddings for textual data.
 
 4. numpy:
-
-- Used for numerical computations like handling embeddings and arrays.
-
-  
+Used for numerical computations like handling embeddings and arrays.
 
 5. streamlit:
-
-- Creates the interactive UI for the application.
-
-  
+    Creates the interactive UI for the application.
 
 6. rapidfuzz:
-
-- Implements fuzzy matching for typos and approximate title matches.
-
-  
+    Implements fuzzy matching for typos and approximate title matches.
 
 7. re:
-
-- Cleans special characters from book titles.
+    Cleans special characters from book titles.