README.md

metadata

title: Regression Mlops
emoji: ⚡
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.44.1
app_file: app.py
pinned: false
license: mit
short_description: 'regression model mlops practise '

📊 Linear Regression Predictor

Welcome to the Regression Predictor app! This interactive Streamlit demo allows you to test a trained linear regression model by entering your own feature values.

🌍 Live App: Click to try it

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🚀 Features

• 🔢 Accepts 12 numerical input features
• 📈 Makes predictions using a trained LinearRegression model
• 📦 Model is embedded in the app and loads automatically
• 💻 Built with Streamlit, deployed on Hugging Face Spaces

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🧠 Model Info

• Framework: scikit-learn
• Model type: LinearRegression
• Trained on a sample dataset for regression tasks

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📁 Files

• streamlit_app.py: The main UI code
• linear_model.pkl: Trained regression model
• requirements.txt: List of dependencies

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🛠️ How to Use

1. Enter values for each of the 12 features
2. Click Predict
3. View the predicted result instantly!

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💬 Feedback or Suggestions?

Feel free to open an issue or message me directly. I’d love to hear how you’re using this!

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👩🏽‍💻 Created by Millicent Auma Omondi

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference