Update README.md

README.md

@@ -11,4 +11,76 @@ license: mit
 short_description: Fuses 2 paintings/images
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+
+---
+
+## 🎨 Neural Style Transfer — A + B = C
+
+Ever wondered what Van Gogh’s brush would look like on your selfie? Or how a castle would look reimagined in Picasso’s palette? **This app lets you do exactly that.**
+
+Upload your own images or remix iconic paintings using **neural style transfer** — a deep learning technique that fuses the *content* of one image with the *style* of another. Watch `A + B = C` come to life in real time.
+
+---
+
+### 🚀 Features
+
+- **✨ Stylize Your Own Images**  
+  Upload any two images: one for content, one for style. The result? A stunning hybrid visual that blends their essence.
+
+- **🎲 Pick Random Pairings**  
+  Not sure what to try? Click *"Pick Random & Generate"* to randomly fuse masterpieces from the [Famous Paintings](https://huggingface.co/datasets/heramb04/Famous-paintings) dataset.
+
+- **🧪 Adjustable Optimization**  
+  Slide between fast runs and deep stylization with the step slider (100–500 iterations).
+
+- **🖌️ Triptych Output** *(coming soon)*  
+  Visualize the fusion in a layout: `Content + Style = Output`.
+
+---
+
+### 🧠 How It Works
+
+Under the hood, this app leverages:
+
+- `torchvision`'s pretrained **VGG-19** model
+- **Content and style loss modules** with Gram matrices
+- **LBFGS optimizer** for iterative refinement
+- Hosted on Hugging Face Spaces using Gradio
+
+No pretraining or model uploads needed — everything runs on-the-fly.
+
+---
+
+### 📁 Dataset
+
+This app uses [Famous Paintings](https://huggingface.co/datasets/heramb04/Famous-paintings) hosted on Hugging Face Datasets — curated for visual diversity and artistic flair.
+
+You can remix any pair of artworks, or contribute your own.
+
+---
+
+### 🛠️ Requirements
+
+This app installs the following Python packages:
+
+```
+torch
+torchvision
+gradio
+Pillow
+datasets
+matplotlib
+```
+
+---
+
+### 💡 Credits & Collaboration
+
+Built by [Heramb Joshi]
+
+Feel free to fork, remix, or contribute ideas! Pull requests, dataset expansions, and UI upgrades are welcome.
+
+---
+
+