Laptop Finder

Welcome to Laptop Finder, a webapp chatbot designed to provide laptop recommendations based on your budget and requirements. You can access the webapp here.

Features

• Personalized Recommendations: Get laptop suggestions tailored to your specific needs and budget.
• User-Friendly Interface: Easy-to-use interface powered by Streamlit.
• Dynamic Filtering: Adjust your preferences to receive the most suitable recommendations.

Getting Started

Prerequisites

• Python 3.12
• Streamlit

Installation

1. Clone the repository:

   git clone https://github.com/manit2004/laptop-finder.git
   cd laptop-finder

2. Create and activate a Python virtual environment:
   • Windows:

     python -m venv venv
     .\venv\Scripts\activate

   • Linux:

     python3 -m venv venv
     source venv/bin/activate

3. Install the required dependencies:

   pip install -r requirements.txt

4. Create your own .env in the root directory and put your own Groq api key, langchain hub api key, google api key, google cse id.

Usage

1. Open the webapp in your browser:

   streamlit run gadgetfinder.py

2. Interact with the chatbot to receive laptop recommendations based on your input criteria such as budget, preferred brand, usage, etc.

Project Structure

• gadgetfinder.py: The main file that runs the Streamlit webapp.
• requirements.txt: List of Python libraries required to run the app.
• vectorstore: Directory containing vector database (FAISS).

Contributing

We welcome contributions! If you have suggestions or improvements, please create a pull request or open an issue.

License

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

Acknowledgments

• Streamlit for providing an amazing platform to build the webapp.
• All contributors and users for their valuable feedback and support.