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https://github.com/abdulrahim-ramadan/streamlit-project

Streamlit Text Analyzer is an interactive web application that analyzes user-inputted text and provides statistics such as word count, character count, sentence count, and the top 5 most frequent words. It also allows users to toggle between light and dark modes for eye comfort and includes visual effects
https://github.com/abdulrahim-ramadan/streamlit-project

python streamlit

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Streamlit Text Analyzer is an interactive web application that analyzes user-inputted text and provides statistics such as word count, character count, sentence count, and the top 5 most frequent words. It also allows users to toggle between light and dark modes for eye comfort and includes visual effects

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README

          

🔍 Streamlit Text Analyzer

## 📸 Demo

https://demo44.streamlit.app

![project demo](screenshot11.png)
![project demo](screenshot1.png)
![project demo](screenshot.png)

Enhance your text analysis with an interactive and user-friendly web application built using Streamlit.

🚀 Features
• Word Count: Determine the total number of words in your text.
• Character Count: Calculate the total number of characters, including spaces.
• Sentence Count: Identify the number of sentences.
• Most Frequent Words: Display the top 5 most common words.
• Dark Mode: Toggle between light and dark themes for comfortable viewing.
• Interactive Animations: Enjoy engaging animations upon completing the analysis.

🛠️ Installation
1. Clone the repository:

git clone https://github.com/abdulrahim-ramadan/Streamlit-Project.git
cd Streamlit-Project

2. Create and activate a virtual environment:

python -m venv env
# On Windows
env\Scripts\activate
# On macOS/Linux
source env/bin/activate

3. Install the required packages:

pip install -r requirements.txt

▶️ Usage
1. Run the Streamlit app:

streamlit run app.py

2. Interact with the application:
• Open your web browser and navigate to http://localhost:8501.
• Enter the text you wish to analyze in the provided text area.
• Click the “Analyze Text” button to view the results.
• Toggle between light and dark modes using the provided switch.

📄 Example

Sample analysis showing word, character, and sentence counts, along with the most frequent words.

🤝 Contributing

Contributions are welcome! Please fork this repository and submit a pull request for any enhancements or bug fixes.

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.

Developed with ❤️ by Abdulrahim Ramadan.