Update README.md

README.md

@@ -11,4 +11,39 @@ license: mit
 short_description: 'This project predicts the species of an Iris flower '
 ---
 
+# 🌸 Iris Flower Species Predictor
+
+This interactive web app predicts the species of an Iris flower using a trained Decision Tree Classifier.
+
+## 🚀 How It Works
+
+- Enter the **sepal length**, **sepal width**, **petal length**, and **petal width**.
+- The model will predict whether the flower is:
+  - Setosa
+  - Versicolor
+  - Virginica
+
+## 🔧 Built With
+
+- Python
+- Scikit-learn
+- Gradio
+- Hugging Face Spaces
+
+## 📁 Files Included
+
+- `app.py`: Main Gradio interface
+- `iris_decision_tree.pkl`: Trained Decision Tree model
+- `requirements.txt`: Required Python packages
+- `README.md`: Project description
+
+## 📜 License
+
+This project is licensed under the [MIT License](./LICENSE).
+
+## 👩‍💻 Author
+
+**Sonia G**
+
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference