Update README.md

README.md

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-license: cc-by-nc-2.0
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+---
+license: cc-by-nc-2.0
+---
+
+# 🍝 RistoNet
+
+**RistoNet** is your AI foodie companion! Based on **EfficientNet**, this model recognizes gourmet dishes from photos with **~91% accuracy**. Perfect for recipe apps, food blogs, or just flexing your culinary AI skills. 😎🍕  
+
+---
+
+## 🚀 Features
+- Recognizes a wide variety of gourmet dishes  
+- Lightweight and fast thanks to EfficientNet  
+- Easy Hugging Face integration  
+- Ready for research, apps, or just fun experiments  
+
+---
+
+## 🖼️ Quick Usage
+
+```python
+from transformers import AutoFeatureExtractor, AutoModelForImageClassification
+from PIL import Image
+import torch
+
+# Load model & feature extractor
+extractor = AutoFeatureExtractor.from_pretrained("your-username/RistoNet")
+model = AutoModelForImageClassification.from_pretrained("your-username/RistoNet")
+
+# Load an image
+image = Image.open("my_dish.jpg")
+
+# Preprocess
+inputs = extractor(images=image, return_tensors="pt")
+
+# Predict
+with torch.no_grad():
+    outputs = model(**inputs)
+    predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
+
+# Top class
+predicted_class = predictions.argmax().item()
+print(f"Predicted class: {predicted_class}")