Update README.md

README.md

@@ -1,41 +1,50 @@
-# Gemma Fine-tuning UI
-
-A user-friendly interface for fine-tuning Google's Gemma models using Unsloth optimizations.
-
-## Features
-
-- Easy-to-use web interface for model fine-tuning
-- Support for multiple data formats (CSV, JSONL, TEXT)
-- Parameter-efficient fine-tuning with LoRA
-- Real-time training progress visualization
-- Model export in multiple formats
-- Integrated text generation testing
-
-## Installation
-
-```bash
-git clone https://github.com/codewithdark-git/Gemma-Finetune.git
-cd Gemma-Finetune
-pip install -r requirements.txt
-```
-
-## Usage
-
-1. Run the application:
-```bash
-python main.py
-```
-
-2. Follow the UI steps:
-   - Upload your dataset
-   - Configure model parameters
-   - Start training
-   - Test and export your model
-
-## Requirements
-
-See requirements.txt for detailed dependencies.
-
-## License
-
-MIT License
+---
+license: mit
+title: Gemma FineTuner
+sdk: gradio
+emoji: 🔥
+colorFrom: gray
+colorTo: green
+pinned: true
+---
+# Gemma Fine-tuning UI
+
+A user-friendly interface for fine-tuning Google's Gemma models using Unsloth optimizations.
+
+## Features
+
+- Easy-to-use web interface for model fine-tuning
+- Support for multiple data formats (CSV, JSONL, TEXT)
+- Parameter-efficient fine-tuning with LoRA
+- Real-time training progress visualization
+- Model export in multiple formats
+- Integrated text generation testing
+
+## Installation
+
+```bash
+git clone https://github.com/codewithdark-git/Gemma-Finetune.git
+cd Gemma-Finetune
+pip install -r requirements.txt
+```
+
+## Usage
+
+1. Run the application:
+```bash
+python main.py
+```
+
+2. Follow the UI steps:
+   - Upload your dataset
+   - Configure model parameters
+   - Start training
+   - Test and export your model
+
+## Requirements
+
+See requirements.txt for detailed dependencies.
+
+## License
+
+MIT License