🔍 Sarcasm Detector Project

Detektif Sarkanto — Find the sarcasm hiding in every headline

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Table of Contents

• Overview
• Features
• Installation
• Usage
• Project Structure
• Model Details
• Contributing
• License

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Overview

A Flask-based web application that detects sarcasm in headlines using a pre‑trained TensorFlow model. The UI provides a clean, modern interface built with responsive CSS and custom graphics.

Features

• Detect sarcasm levels (Very Low, Mild, Moderate, High)
• Supports English and Indonesian headlines (auto‑translation)
• Responsive design with glass‑morphism style elements
• Dark‑mode compatible colors

Installation

# Clone the repository (if not already)
git clone https://github.com/Zzybeanie/Final-Project-Alogrotma-Pemrograman-II-Web-based.git
cd Final-Project-Alogrotma-Pemrograman-II-Web-based

# Set up Python environment
python -m venv venv
source venv/bin/activate   # macOS/Linux
# or venv\Scripts\activate on Windows

# Install dependencies
pip install -r requirements.txt

Usage

# Run the Flask app
python sarcasm/main.py

Open a web browser and navigate to http://127.0.0.1:5000/.

Project Structure

├── sarcasm/
│   ├── static/          # CSS, images, assets
│   ├── templates/       # HTML templates
│   ├── main.py          # Flask app entry point
│   └── sarcasm-model5/  # TensorFlow model directory
├── .gitignore
├── requirements.txt
└── README.md

Model Details

The model is stored in the sarcasm-model5 directory and loaded without the .h5 extension for compatibility with TensorFlow 2.x.

Contributing

Feel free to open issues or submit pull requests. Please ensure code follows PEP8 standards and updates the documentation as needed.

License

This project is licensed under the MIT License – see the LICENSE file for details.