Upload README.md

README.md

@@ -19,14 +19,13 @@ app_file: app.py
 ---
 
 # 🧠 KKT-HF-TransferLearning-Models  
-### Transfer Learning Models Collection for Image Classification  
+## Transfer Learning Models Collection for Image Classification  
 **Created by [Thyagharajan K K](https://huggingface.co/kkthyagharajan)**  
 
 [![Hugging Face Hub](https://img.shields.io/badge/HuggingFace-Repository-orange?logo=huggingface)](https://huggingface.co/kkthyagharajan/KKT-HF-TransferLearning-Models)
 [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
 [![Made with Keras](https://img.shields.io/badge/Made%20with-Keras-red?logo=keras)](https://keras.io/)
 [![TensorFlow](https://img.shields.io/badge/Framework-TensorFlow-orange?logo=tensorflow)](https://www.tensorflow.org/)
-
 ---
 
 ## 📘 Overview  
@@ -37,7 +36,6 @@ Each subdirectory contains:
 - A `Test` folder with example test images  
 
 You can use these models **programmatically** or through an **interactive demo app** powered by Gradio or Streamlit.
-
 ---
 
 ## 🧩 Programmatic Usage
@@ -72,18 +70,16 @@ display_images_gui(
     all_predicted_labels,
     IMG_SIZE,
 )
-
+```
 ---
 ## 🚀 Interactive Demo App  
-
 ### 🧩 Option 1: Run directly on Hugging Face  
 This Space includes a web app defined by `app.py`.
-
 ### 💻 Option 2: Run locally using Gradio or Streamlit  
 pip install -r requirements.txt  
 python app.py  OR  streamlit run app.py
-
 ---
+
 ## 📁 Repository Structure
 ```