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update: readme according to hf spaces

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- # Loan Approval Prediction System
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-
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- This project is a **Loan Approval Prediction System** developed as part of my **University Assignment for MLOps**. It consists of a backend API built with Flask and a frontend interface built with Streamlit.
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-
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- ## Features
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- - **Frontend**: A user-friendly interface to input loan application details and view predictions.
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- - **Backend**: A Flask-based API that uses a pre-trained machine learning model to predict loan approval status.
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-
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-
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-
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- ## How to Run
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- 1. Install dependencies:
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- ```bash
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- pip install -r requirements.txt
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- 2. Run the application:
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- ```bash
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- python app.py
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- 3. Access the frontend at `httpp://localhost:7860`
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-
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- ## Docker Support
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- Build and run the application using Docker:
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- ```bash
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- docker build -t loan-approval .
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- docker run -p 7860:7860 loan-approval
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- ```
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-
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- ## Note
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- This project is for educational purposes only and is part of my MLOps University Assignment.
 
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+ ---
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+ title: Loan Approval Prediction System
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+ emoji: 🏦
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+ colorFrom: blue
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+ colorTo: green
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+ sdk: docker
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+ sdk_version: 1.25.0
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+ app_file: app.py
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+ pinned: false
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+ short_description: A loan approval prediction system using a pre-trained ML model.
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+ ---