Anusandhan is an AI-powered search engine designed to provide real-time search capabilities with concise answers and reference sources. It features a frontend UI written in Streamlit for easy interaction and a backend API developed using Node.js.

• ai_search_ui

  • app.py
  • LLM.py
  • requirements.txt
  • search.py
  • searching.gif
  • trans.py
  • util.py

• package-lock.json

• playwright.config.ts

• app.js

• package.json

• page_pool.js

• search_engine.js

1. Streamlit Setup:

   • Ensure you have Python installed with Streamlit (pip install streamlit).

2. Running the UI:

   • Navigate to the ai_search_ui directory:

     cd ai_search_ui

   • Create Virtual Enviornment & Install Dependencies

     python -m venv venv
     venv/Scripts/activate
     pip install -r requirements.txt

   • Run the Streamlit app:

     streamlit run app.py

   • Access the UI in your browser at localhost:8501 (default Streamlit address).

1. Node.js Setup:

   • Verify Node.js installation (node --version).

2. Installing Dependencies:

   • Install required Node.js packages:

     npm install

3. Starting the Backend:

   • From the project root, start the backend server using nodemon:

     nodemon app.js

   • The backend server will run and listen for requests.

• Frontend (UI):

  • The main Streamlit app file is app.py in the ai_search_ui directory.
  • Explore the UI to interact with the search interface.

• Backend (API):

  • The backend server script is app.js in the project root.
  • Ensure all required packages from package.json are installed (npm install).
  • Use nodemon to run the server for automatic restarts on file changes.

This project was developed independently without external funding. Contributions and feedback are welcome through GitHub issues and pull requests.

Feel free to modify and expand upon this README as needed to provide more detailed instructions, information about APIs, deployment steps, or any other relevant details for users and contributors.