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| title: Decision Tree Iris | |
| emoji: 🚀 | |
| colorFrom: red | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 5.37.0 | |
| app_file: app.py | |
| pinned: false | |
| 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 | |