https://github.com/same-ou/arabic-text-summarization

Arabic Text Summarization App: A Streamlit app that uses fine-tuned Transformer models to summarize Arabic text.
https://github.com/same-ou/arabic-text-summarization

nlp streamlit transformers

Last synced: 5 days ago
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Arabic Text Summarization App: A Streamlit app that uses fine-tuned Transformer models to summarize Arabic text.

• Host: GitHub
• URL: https://github.com/same-ou/arabic-text-summarization
• Owner: same-ou
• Created: 2024-06-01T09:07:33.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-11T10:43:28.000Z (7 months ago)
• Last Synced: 2024-06-11T12:03:35.507Z (7 months ago)
• Topics: nlp, streamlit, transformers
• Language: Python
• Homepage:
• Size: 90.8 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# arabic-text-summarization

This Streamlit application utilizes a fine-tuned version of a set of summarization models specifically designed for Arabic text. The models are fine-tuned on the [XL-Sum dataset](https://huggingface.co/datasets/csebuetnlp/xlsum). Users can either input text directly or upload a PDF for summarization.

## Screenshots

![Application](screenshots/app.png)

## Getting Started

### Local Setup

1. Clone the Repository: Begin by cloning this repository to your local machine.

```bash

git clone [email protected]:same-ou/arabic-text-summarization.git

```

2. Install Dependencies: Navigate to the project directory and install the required dependencies.

```bash

cd arabic-text-summarization

pip install -r requirements.txt

```

3. Run the application:

```bash

streamlit run app.py

```

After starting the app, navigate to http://localhost:8501 in your web browser to use the application.

### Docker Setup

1. Build the Docker Image

```bash

docker build -t streamlit-app .

```

2. Run the Docker Container

```bash

docker run -p 8501:8501 streamlit-app

```

Access the application by navigating to http://localhost:8501 in your web browser.

## Connect With Me

Have feedback, suggestions, or questions about the Whisper speech recognition deployment? Feel free to connect with me:

Email: [[email protected]](mailto:[email protected])       |       Linkedin: [OUSSAMA EL HADRAMI](https://www.linkedin.com/in/elhadrami-oussama/)

Happy coding! 🚀✨

[slides](https://docs.google.com/presentation/d/18zmaqAn3_0ygYXY1gytLW0PxJB4MG7dxebzekoC6QHM/edit#slide=id.p)     | [app](https://arabicsumm.streamlit.app/)