README.md

metadata

license: mit
python-version: 3.11
sdk: streamlit
emoji: 🚀
colorFrom: indigo
colorTo: green
pinned: false
sdk_version: 1.39.0

🌺 Iris Flower Classifier and Visualization App 🌺

This Streamlit app helps you predict the species of an Iris flower 💐 based on its measurements! 📏

Features ✨

• Easy to Use Interface: Input flower measurements with simple sliders 🎚️.
• Accurate Predictions: Powered by a trained machine learning model 🧠 for reliable results.
• Clear Results: See the predicted species along with your input measurements 📊.

Demo App

• Demo App
• GitHub Source code

How to Run 🚀

1. Install the Dependencies:

   pip install -r reqiurments.txt
   

2. Start the App:

   streamlit run app.py
   

Usage

1. Open the app in your web browser 🌐.
2. Adjust the sliders to enter the sepal and petal measurements.
3. Click "Predict" to see the magic! 🪄
4. The predicted Iris species will be displayed.

Built With 🛠️

• Streamlit: For building the interactive web app ✨.
• Scikit-learn: For training the machine learning model 🧠.
• Pandas: For handling the Iris dataset 📊.

Contributing 🤝

Want to help improve the app? Feel free to open an issue or submit a pull request! 🎉