Document-Summarizer is a comprehensive tool designed to automatically summarize documents. It uses a combination of natural language processing and machine learning algorithms to understand and condense text, providing users with quick and accurate summaries of their documents.
- Python: Used for the core functionality of the application, such as the algorithm for summarizing the documents.
- Opensource LLM : For text summarization
- Upload documents for summarization
- View, save, and manage document summaries
- Customize summary length and detail
- Key concept visualization
- Python 3.11
- Web server
- Clone the repository:
git clone https://github.com/mohsinmahmood12/Document-Summarizer.git - Install dependencies:
pip install -r requirements.txt - Start the app:
streamlit app.py
Visit localhost:8501 in your web browser to start using the application.
Please open an issue to discuss the change you wish to make before making a change.
This project is licensed under the MIT License.
Mohsin Mehmood - [email protected]