updated readme.md

README.md

@@ -1,33 +1,46 @@
-# Multi Document Summarization
-
-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.
-
-## Features
-- Summarizes multiple documents into concise summaries.
-- Supports file formats: `.docx`, `.txt`, `.html`, `.pdf`, `.csv`, `.xlsx`, `.json`, `.xml`, `.ppt`, `.pptx`.
-- Visualizations: Dendrogram, t-SNE, TF-IDF, Word Cloud.
-
-## Installation
-1. Clone the repository:
-   ```bash
-   git clone https://github.com/your-username/abstractive-text-summarization.git
-   ```
-2. Navigate to the project directory:
-   ```bash
-   cd abstractive-text-summarization
-   ```
-3. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-## Usage
-1. Run the application:
-   ```bash
-   python major_project_main.py
-   ```
-2. Open the Gradio interface in your browser.
-3. Upload files and click "Summarize" to generate summaries and visualizations.
-
-## License
-This project is licensed under the MIT License. See the LICENSE file for details.
+---
+title: Multi Document Summarizer
+emoji: 🔥
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 4.15.0
+app_file: major_project_main.py
+pinned: false
+license: mit
+short_description: Summarizes multiple docs (docx, pdf, etc.) with NLP & visual
+---
+
+# Multi Document Summarization
+
+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.
+
+## Features
+- Summarizes multiple documents into concise summaries.
+- Supports file formats: `.docx`, `.txt`, `.html`, `.pdf`, `.csv`, `.xlsx`, `.json`, `.xml`, `.ppt`, `.pptx`.
+- Visualizations: Dendrogram, t-SNE, TF-IDF, Word Cloud.
+
+## Installation
+1. Clone the repository:
+   ```bash
+   git clone https://github.com/your-username/abstractive-text-summarization.git
+   ```
+2. Navigate to the project directory:
+   ```bash
+   cd abstractive-text-summarization
+   ```
+3. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+## Usage
+1. Run the application:
+   ```bash
+   python major_project_main.py
+   ```
+2. Open the Gradio interface in your browser.
+3. Upload files and click "Summarize" to generate summaries and visualizations.
+
+## License
+This project is licensed under the MIT License. See the LICENSE file for details.