LangChain-Q-A

A full-stack Q&A chatbot built with React and Django, powered by LangChain and Hugging Face’s Meta-Llama-3-8B-Instruct model.

Features

• Real-time chatbot interface
• LangChain-powered natural language processing
• Uses Meta-Llama-3-8B-Instruct from Hugging Face
• Simple and clean React-based UI
• Option to clear chat history

Tech Stack

• Frontend: React
• Backend: Django + Django REST Framework
• LLM Integration: LangChain + Hugging Face (Meta-Llama-3-8B-Instruct)

Getting Started

1. Clone the Repository

git clone https://github.com/your-username/LangChain-Q-A.git
cd LangChain-Q-A

2. Backend Setup (Django)

cd backend
python -m venv venv
source venv/bin/activate        # On Windows: venv\Scripts\activate
pip install -r requirements.txt

Create a .env file in the backend folder and add your Hugging Face token:

HUGGINGFACEHUB_API_TOKEN=your_token_here

Run the Django server:

python manage.py runserver

3. Frontend Setup (React)

cd ../frontend
npm install
npm start

The React app will open at http://localhost:3000.

Folder Structure

LangChain-Q-A/
├── backend/       # Django backend with LangChain logic
├── frontend/      # React frontend for the chat UI
└── README.md

License

This project is licensed under the MIT License.

Credits

• LangChain
• Meta-Llama-3
• Hugging Face
• Django REST Framework
• React