Update README for both github and HF

README.md

@@ -1,17 +1,108 @@
-<<<<<<< HEAD
-# -Pepe-Meme-Generator-
-Create custom Pepe memes using AI
-=======
 ---
 title: Pepe Meme Generator
-emoji: 💻
-colorFrom: pink
-colorTo: pink
-sdk: docker
-pinned: false
-license: mit
-short_description: Create custom Pepe memes using AI
+emoji: 🐸
+colorFrom: green
+colorTo: blue
+sdk: streamlit
+sdk_version: 1.31.0
+app_file: src/app.py
+python_version: "3.10"
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
->>>>>>> b990c1176a7f11f6245fe79359d900a697141f26
+# 🐸 Pepe the Frog Meme Generator
+
+AI-powered meme generator using Stable Diffusion and LoRA fine-tuning.
+
+---
+
+## 🎮 Try It Online
+
+🚀 **[Open in Hugging Face Spaces](https://huggingface.co/spaces/MJaheen/Pepe-Meme-Generator)**
+
+---
+
+## 🌟 Features
+
+- Generate **custom Pepe memes** from text prompts  
+- Multiple **style presets** (happy, sad, smug, angry, etc.)  
+- **Add meme text overlays** and download results  
+- Adjustable generation parameters (CFG, steps, seed, etc.)  
+- Batch generation and meme gallery system  
+
+---
+
+## 💡 Example Prompts
+
+- "pepe the frog as a wizard"  
+- "pepe coding on a laptop"  
+- "pepe drinking coffee"  
+- "smug pepe wearing sunglasses"
+
+---
+
+## 🚀 Quick Start (GitHub)
+
+```bash
+# Clone
+git clone https://github.com/YOUR_USERNAME/pepe-meme-generator.git
+cd pepe-meme-generator
+
+# Install
+pip install -r requirements.txt
+
+# Run
+streamlit run src/app.py
+```
+
+---
+
+## 📚 Project Structure
+
+pepe-meme-generator/
+├── src/
+│   ├── app.py              # Main Streamlit app
+│   ├── model/
+│   │   ├── generator.py    # Generation logic
+│   │   └── config.py       # Model configuration
+│   └── utils/
+│       └── image_processor.py
+├── models/                 # Model weights (not committed)
+├── outputs/                # Generated memes (not committed)
+├── requirements.txt
+├── .gitignore
+└── README.md
+
+---
+
+## 🛠️ Tech Stack
+
+Model: Stable Diffusion 1.5 + LoRA
+
+Framework: PyTorch, Diffusers
+
+UI: Streamlit
+
+Processing: PIL, OpenCV
+
+---
+
+
+
+This project demonstrates:
+- Diffusion model architecture
+- Transfer learning with LoRA
+- Text-to-image synthesis
+
+---
+## 🎓 🙏 Acknowledgments
+
+- [WorldQuant](https://www.wqu.edu/ai-lab-computer-vision)
+- [Stable Diffusion](https://github.com/CompVis/stable-diffusion)
+- [LoRA](https://github.com/microsoft/LoRA)
+- [Diffusers](https://github.com/huggingface/diffusers)
+- [Streamlit](https://github.com/streamlit/streamlit)
+
+
+## 📜 License
+
+MIT License — see LICENSE file.