The Text Summarization Web App is a user-friendly platform that allows users to input text documents or articles and receive concise summaries of the content. Using natural language processing techniques, the app analyzes the input text, identifies key information, and generates a condensed summary to provide users with a quick overview.
- Text Input: Users can enter text or upload documents in various formats, including plain text, PDF, or Word documents.
- Automatic Summarization: The app employs advanced algorithms to automatically generate summaries from the input text, condensing it into a shorter version.
- Summarization Models: The app utilizes state-of-the-art machine learning models specifically designed for text summarization tasks, ensuring accurate and coherent summaries.
- Python: The Text Summarization Web App is built using Python, a powerful and versatile programming language.
- Flask: The app utilizes the Flask web framework, providing a lightweight and efficient solution for building web applications in Python.
- Heroku: The app is deployed and hosted on the Heroku platform, allowing for easy scalability, deployment, and management of the application.
- Clone the repository:
git clone https://github.com/srivasPankhuri/Text-Summarization-Web-App.git - Set up the necessary dependencies and environment according to the provided documentation.
- Configure the app settings, including any API keys or external services required.
- Build and run the application on your local development server.
- Access the Text Summarization Web App through your preferred web browser.
- Enter or upload the text document you wish to summarize.
- Initiate the summarization process.
- View the generated summary, which will be displayed on the app's interface.
- Explore the option to download or share the summary, if available.
Feel free to experiment with different text inputs, summary lengths, and languages to evaluate the app's summarization capabilities.
Contributions are welcome! If you want to contribute to this project, please fork the repository and create a new branch. Submit any pull requests or open issues for further discussion.
We would like to express our gratitude to the contributors and the open-source community for their valuable resources and inspiration used in building this Text Summarization Web App. Their dedication and expertise have been instrumental in its development and success.