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--- |
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title: Multi Document Summarizer |
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emoji: 🔥 |
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colorFrom: blue |
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colorTo: green |
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sdk: gradio |
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sdk_version: 5.25.2 |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: Summarizes multiple docs (docx, pdf, etc.) with NLP & visual |
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--- |
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# Multi Document Summarization |
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This project provides a multi-document summarization tool using state-of-the-art NLP models like BART and Longformer. It supports various file formats and generates summaries along with visualizations like dendrograms, t-SNE plots, TF-IDF plots, and word clouds. |
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## Features |
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- Summarizes multiple documents into concise summaries. |
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- Supports file formats: `.docx`, `.txt`, `.html`, `.pdf`, `.csv`, `.xlsx`, `.json`, `.xml`, `.ppt`, `.pptx`. |
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- Visualizations: Dendrogram, t-SNE, TF-IDF, Word Cloud. |
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## Installation |
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1. Clone the repository: |
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```bash |
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git clone https://github.com/your-username/abstractive-text-summarization.git |
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``` |
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2. Navigate to the project directory: |
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```bash |
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cd abstractive-text-summarization |
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``` |
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3. Install dependencies: |
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```bash |
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pip install -r requirements.txt |
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``` |
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## Usage |
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1. Run the application: |
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```bash |
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python major_project_main.py |
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``` |
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2. Open the Gradio interface in your browser. |
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3. Upload files and click "Summarize" to generate summaries and visualizations. |
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## License |
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This project is licensed under the MIT License. See the LICENSE file for details. |
