Update README.md

README.md

@@ -1,3 +1,14 @@
+---
+license: mit
+title: 🌸 Fulla 🌸
+sdk: gradio
+emoji: 👀
+colorFrom: pink
+colorTo: purple
+pinned: true
+short_description: A flower classifier built with PyTorch and Gradio.
+---
+
 # 🌸 Fulla 🌸
 
 **Fulla (فلة)** is a deep learning project that classifies flowers from images using a ResNet-based neural network and transfer learning. Built with **PyTorch** and deployed with **Gradio**, this app blends the elegance of nature with the power of machine learning.
@@ -6,9 +17,9 @@
 
 ## 🖼️ Live Demo
 
-> [👉 Try it on Hugging Face Spaces](https://huggingface.co/spaces/salihelfatih/fulla)
+> You are looking at the live demo! For more details, check out the [GitHub repository](https://github.com/salihelfatih/fulla).
 
-## 🔍 Overview
+## ✨ Features
 
 - 🌼 **102 Flower Classes**: Trained on the comprehensive [Flowers102 dataset](https://pytorch.org/vision/stable/generated/torchvision.datasets.Flowers102.html).
 - 🧠 **Transfer Learning**: Built on a pre-trained ResNet model for powerful feature extraction.
@@ -31,21 +42,18 @@ The confusion matrix below shows the model's high performance, with a strong dia
 
 ## 🛠️ How to Run Locally
 
-1. **Clone the repository:**
-
+1.  **Clone the repository:**
     ```bash
-    git clone [https://github.com/salihelfatih/fulla]
+    git clone [https://github.com/salihelfatih/fulla](https://github.com/salihelfatih/fulla)
     cd Fulla
     ```
 
-2. **Install dependencies:**
-
+2.  **Install dependencies:**
     ```bash
     pip install -r requirements.txt
     ```
 
-3. **Launch the app:**
-
+3.  **Launch the app:**
     ```bash
     python -m app.interface
     ```
@@ -58,28 +66,6 @@ The confusion matrix below shows the model's high performance, with a strong dia
 - **Optimizer**: `Adam`
 - **Framework**: PyTorch
 
-## 📁 Project Structure
-
-```plaintext
-fulla/
-├── fulla_core/
-│   ├── model.py
-│   ├── train.py
-│   └── utils.py
-│
-├── app/
-│   └── interface.py
-│
-├── main.ipynb   
-├── fulla_model.pth
-├── README.md 
-└── requirements.txt
-```
-
-## 🧾 License
-
-MIT License — free to use, remix, and bloom!
-
 ## 🙌 Credits
 
-Developed by Salih Elfatih as a capstone project on deep learning and computer vision. Flowers bloom. So should code!
+Developed by Salih Elfatih as a capstone project on deep learning and computer vision. Flowers bloom. So should code!