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
Last synced: about 1 month ago
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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
- Host: GitHub
- URL: https://github.com/abdulrahim-ramadan/streamlit-project
- Owner: abdulrahim-ramadan
- Created: 2025-03-19T06:37:18.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-19T07:14:35.000Z (over 1 year ago)
- Last Synced: 2025-03-19T07:35:38.047Z (over 1 year ago)
- Topics: python, streamlit
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
🔍 Streamlit Text Analyzer
## 📸 Demo
https://demo44.streamlit.app



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.
⸻