Create README.md

README.md

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+---
+title: GoGenix MRI Brain Tumor Classifier
+emoji: ⚡
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 4.0.0
+python_version: '3.10'
+app_file: app.py
+pinned: true
+license: mit
+short_description: quick-predictions
+---
+
+# GoGenix MRI Brain Tumor Classifier
+
+Fine-tuned version of `Falconsai/nsfw_image_detection` for Brain Tumor MRI classification.
+
+## 🚀 Model Information
+- **Base Model**: [Falconsai/nsfw_image_detection](https://huggingface.co/Falconsai/nsfw_image_detection)
+- **Custom Model**: GoGenix_MRI_Brain
+- **Number of Classes**: 4 (Glioma, Meningioma, No Tumor, Pituitary Tumor)
+- **Dataset**: Brain Tumor MRI 4-class Dataset
+
+## 📊 Dataset Information
+The model is trained on a comprehensive Brain Tumor MRI dataset containing:
+- **Glioma Tumors**
+- **Meningioma Tumors** 
+- **Pituitary Tumors**
+- **No Tumor** (Healthy brains)
+
+## 🎯 Usage
+### Training
+1. Navigate to the **"🚀 Train Model"** tab
+2. Click **"Start Training"** to begin fine-tuning
+3. Monitor the training progress in the status box
+
+### Classification
+1. Go to the **"🔍 Classify MRI"** tab
+2. Upload a Brain MRI image
+3. Click **"Classify"** to get tumor classification results
+
+## 🔧 Technical Details
+- **Framework**: PyTorch + Hugging Face Transformers
+- **Image Size**: 224x224 pixels
+- **Architecture**: Based on Vision Transformer (ViT)
+- **Training Time**: ~10-30 minutes on T4 GPU
+
+## 📁 Files Structure