Multipurpose RAG Web App

About

This project is a Multipurpose RAG Web app that enables users to explore the possibilities of text, images, and audio. The app features three main components: PDF Chatbot, Story Board, and Image-to-Text.

Installation

1. Clone the repository

Clone the repository using the following command:

git clone "https://github.com/sadiqhussain13/MP-RAG.git"
cd MP-RAG

2. Install dependencies

Install the necessary dependencies using the following command:

conda env create -f environment.yml
conda activate MP-RAG

3. Set up environment variables

Create a .env file in the root of the project and add the following environment variables:

GROQ_API_KEY=YOUR_GROQ_API_KEY
HUGGINGFACEHUB_API_TOKEN=YOUR_HUGGINGFACEHUB_API_TOKEN

Replace YOUR_GROQ_API_KEY and YOUR_HUGGINGFACEHUB_API_TOKEN with your actual API keys.

Running the Application

1. Start the app

Start the app using the following command:

streamlit run 1_🏠_Home.py

This will start the Streamlit app on port 8501.

2. Access the app

Open the app in your web browser by navigating to http://localhost:8501.

Technologies Used

Technology	Description
	Web app framework
	Package manager
	Question answering API
	AI image generation API
	PDF parsing library
	Natural language processing library
	Vector store library
	Environment variable management library