Wikipedia QA Bot

A Wikipedia Question Answering Bot that allows users to input a Wikipedia article title, ask questions about its content, and receive AI-generated answers. The bot uses LangChain, FAISS, and Hugging Face Transformers for efficient document retrieval and QA processing.

Features

• Scrapes Wikipedia articles based on user-input titles and language selection.
• Uses FAISS for efficient document retrieval.
• Employs Hugging Face's Transformers for question answering.
• Deployed using Streamlit with a Flask backend.

Installation

1. Clone the Repository

git clone https://github.com/yourusername/WikiBot.git
cd WikiBot

2. Create a Virtual Environment

conda create --name wikibot python=3.11
conda activate wikibot

3. Install Dependencies

pip install -r requirements.txt

Usage

Run the Streamlit App

streamlit run app.py

Input Options

• Wikipedia Title: Enter the title of the Wikipedia page to scrape.
• Language Selection: Choose between English (en) or Arabic (ar).
• Ask a Question: Once the article is scraped, input a question related to its content.

Project Structure

WikiBot/
│── app.py                  # Streamlit UI
│── controller.py           # Main Controller
│── requirements.txt        # Dependencies
│── LICENSE
|── README.md
|
├── utils/
│   ├── qa_chain.py         # Question Answering Pipeline
│   ├── search.py           # FAISS Document Retrieval
│   ├── wiki_scrap.py       # Wikipedia Scraping Utility
|   |── __init__.py

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License

This project is licensed under the Apache License. See the LICENSE file for details.

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This project is still under development