---
title: Part 1
emoji: 🚀
colorFrom: indigo
colorTo: indigo
sdk: gradio
sdk_version: 5.18.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Fainal Project , Part 1
---
# AI Study Summary

This is a simple text summarization tool built using the `mT5` multilingual model for summarizing text in both Arabic and English. It uses the Hugging Face `transformers` library and Gradio to create an interactive web interface for summarizing text input.

## Features

- Summarize text in multiple languages, including Arabic and English.
- Use a pre-trained multilingual summarization model (`csebuetnlp/mT5_multilingual_XLSum`).
- Simple, user-friendly Gradio interface to input text and receive summaries.

## How It Works

The application uses a pre-trained model called `mT5_multilingual_XLSum` for text summarization. The user can enter text in Arabic or English, and the model will generate a concise summary of the input.

### Example Texts

- Arabic:
  > "الذكاء الاصطناعي هو فرع من علوم الكمبيوتر يهدف إلى إنشاء آلات ذكية تعمل وتتفاعل مثل البشر. بعض الأنشطة التي صممت أجهزة الكمبيوتر الذكية للقيام بها تشمل: التعرف على الصوت، التعلم، التخطيط، وحل المشاكل."

- English:
  > "Artificial intelligence is a branch of computer science that aims to create intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, learning, planning, and problem-solving."

## Requirements

To run this project locally, you need Python 3.7 or higher. Additionally, you need to install the following Python libraries:

- pip install gradio.
- pip install transformers.

---

- Gradio: Provides a simple interface for building and sharing machine learning demos.
- Transformers: Hugging Face's library for pre-trained models, in this case, for multilingual text summarization.
- Torch: PyTorch is used as the backend for the model.


## How to Run Locally
- Clone the repository or download the app.py and requirements.txt files.
- Create a virtual environment and activate it (optional but recommended).
  
- Install the required libraries by running:

pip install -r requirements.txt

- Run the application:
- 
python app.py
## How It Works
- The Gradio interface allows you to input text and select the language (Arabic or English).
- The model will generate a summary of the text based on the language selected.
- You can also use pre-defined example texts to quickly test the summarization feature.

Input:
- Text: "Artificial intelligence is a branch of computer science that aims to create intelligent machines that work and react like humans."
- Language: English

Output:
- Summary: "AI is a branch of computer science aimed at creating intelligent machines that mimic human behavior."

## License
This project is licensed under the MIT License - see the LICENSE file for details.

## Acknowledgements
The summarization model used in this application is based on the mT5 Multilingual XLSum model by Hugging Face and is fine-tuned on the XLSum dataset for summarization in multiple languages.
Gradio is used to build the web interface, making it easy to interact with the model.