checking toc update

README.md

@@ -17,12 +17,23 @@ Try it out: https://huggingface.co/spaces/LunaticMaestro/book-recommender
 
 ![image](https://github.com/user-attachments/assets/b0fbabb6-1218-43c8-ba0b-8b6329502a6c)
 
+## Table of Content
+
+- [Running Inference Locally](#libraries-execution)
+- Pipeline walkthrough in detail
+
+  *For each part of pipeline there is separate script which needs to be executed, mentione in respective section along with output screenshots.*
+  - Training
+    - [Step 1: Data Clean](#step-1-data-clean)
+
+## Local Execution 
+
 ## Libraries installed separately
 
 I used google colab with following libraries extra. 
 
 ```SH
-pip install -U sentence-transformers datasets
+pip install sentence-transformers datasets
 ```
 
 ## Training Steps

app.py

@@ -16,7 +16,7 @@ GRADIO_TITLE = "Content Based Book Recommender"
 GRADIO_DESCRIPTION = '''
 This is a [HyDE](https://arxiv.org/abs/2212.10496) based searching mechanism that generates random summaries using your input book title and matches books which has summary similary to generated ones. The books, for search, are used from used [Kaggle Dataset: arpansri/books-summary](https://www.kaggle.com/datasets/arpansri/books-summary)
 
-**Should take ~15s to ~30s** for inferencing
+**Should take ~ 15s to 30s** for inferencing.
 '''
 
 # Caching mechanism for gradio