This is a demo application that demonstrates a Question and Answering (Q&A) system using Next.js for the frontend and Python with FastAPI for the backend. This README provides instructions on how to set up and run the application.'

Blog: https://medium.com/p/21823684dfb2

Before you can run the demo, make sure you have the following software installed on your system:

• Node.js and Yarn: You can download Node.js from nodejs.org and install Yarn globally using npm by running npm install -g yarn.

• Python: You'll need Python 3.x installed on your system. You can download it from python.org.

Clone this repository to your local machine:

git clone https://github.com/yourusername/qa-demo.git

Replace yourusername with your actual GitHub username or the URL of the repository.

Navigate to the project directory:

cd qa-demo

Install frontend dependencies. Run the following command in the project root directory:

yarn install

Install backend dependencies. Navigate to the backend directory:

cd backend

Run the following command:

pip install -r requirements.txt

Running the Application

Run the following command to start the FastAPI server:

yarn fastapi-dev

This will launch the backend server, which will be accessible at http://localhost:8000.

In the project root directory, run the following command to start the Next.js development server:

yarn next-dev

The frontend server will start and the application will be accessible at http://localhost:3000.

Open your web browser and navigate to http://localhost:3000 to use the Q&A system.

Once the application is up and running, you can use the Q&A system to ask questions and get answers based on the provided dataset or model. Follow the on-screen instructions to interact with the application.

If you'd like to contribute to this demo, please fork the repository, make your changes, and create a pull request. We welcome contributions and improvements.

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

This demo was built using Next.js for the frontend and FastAPI for the backend. Special thanks to the contributors of the open-source libraries used in this project. Feel free to reach out if you have any questions or need further assistance!