Update README.md

README.md

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 license: apache-2.0
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+# Text Summarization App
+
+This is a simple app that uses the `facebook/bart-large-cnn` model from Hugging Face to summarize long-form text. The app takes an article, paper, or book, and summarizes it into key points or a concise paragraph.
+
+## Features
+
+- Summarizes long text into a short, readable summary.
+- Works on various kinds of text (articles, papers, books).
+- Uses Hugging Face's BART model for high-quality summaries.
+- Provides a simple and user-friendly interface built with Gradio.
+
+## How It Works
+
+1. The user inputs a long-form text (article, paper, or book) in the provided input box.
+2. The app processes the input using the `facebook/bart-large-cnn` model.
+3. A summarized version of the text is displayed as output.
+
+## Setup and Installation
+
+1. Clone the repository:
+    ```bash
+    git clone https://huggingface.co/spaces/your-username/Text-Summarization-App
+    cd Text-Summarization-App
+    ```
+
+2. Install the dependencies from `requirements.txt`:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. Run the app locally:
+    ```bash
+    python app.py
+    ```
+
+4. To deploy on Hugging Face Spaces, just upload your code and the necessary files to the Hugging Face Space and it will be ready to use.
+
+## Technologies Used
+
+- **Gradio**: For the user interface.
+- **Hugging Face Transformers**: For using the pre-trained BART model for summarization.
+- **PyTorch**: Deep learning framework used for running the BART model.
+
+## Example
+
+Input: "Long article text here..."
+
+Output: "Concise summary of the article here..."
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference