The backend server is responsible for processing requests and running the machine learning model.

1. Open your terminal and navigate to the backend/ folder:

   bash cd backend/

2. Install the required Python dependencies (make sure you have a virtual environment set up):

   bash pip install -r requirements.txt

   If requirements.txt is not provided, you'll need to install the dependencies manually. Here’s an example of what you might need:

   bash pip install flask flask-cors langchain langchain_huggingface langchain_chroma langchain_groq dotenv

3. Run the backend Python server:

   bash python back.py

   The backend server should now be running and accessible at http://localhost:5000 (or any other port specified in your back.py file).

Now let's set up the frontend, which is built using Next.js.

1. Open a new terminal window and navigate to the src/ folder:

   bash cd src/

2. Install the required dependencies using npm (or yarn):

   bash npm install

   If you're using yarn:

   bash yarn install

3. Start the Next.js development server:

   bash npm run dev

   This will start the Next.js app at http://localhost:3000. You can now open this URL in your browser and interact with the frontend.

Once both the backend and frontend are running, the frontend will send requests to the backend Python server to interact with the machine learning model.

• You can visit the Next.js app (running at http://localhost:3000) and submit queries. The backend will process these queries using the ML model and return the results.