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SahilAhuja/santander-customer-transaction-app

sourceHugging Faceccupdated 3y agoView on Hugging Face
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App README

Santander Customer Transaction App

Welcome to the Santander Customer Transaction App! 🚀 This Streamlit application empowers you to predict customer transactions using a machine learning model with just a CSV file upload. Harness the power of data with ease and simplicity.

Getting Started

📚 For detailed setup instructions and documentation, please check out our Documentation. Get your environment configured and ready to unlock the full potential of the app!

Features

✨ Intuitive Interface: User-friendly and sleek design for effortless interaction.

📁 File Upload: Seamlessly upload CSV files containing transaction data.

🚀 API Predictions: Trigger predictions with a single click and get instant insights.

How to Run UI

  1. 1.Install dependencies: pip install -r requirements.txt
  2. 2.Run the Streamlit app: streamlit run streamlit_app.py

Deployed App

  1. 1.__PROD API Server__
  2. 2.__UAT API Server__
  3. 3.__Streamlit UI Application__

Contributing

👩‍💻 We welcome contributions! If you want to enhance or fix something, feel free to open an issue or submit a pull request.

License

This app is licensed under Creative Commons. See the LICENSE file for details.

SahilAhuja/santander-customer-transaction-app · CoolFace