PY
pyserve/MetaLLAMA3Chatbot-conversational-AI-chatbot
LLaMAChat is an advanced conversational AI chatbot built using Meta’s LLaMA (Large Language Model Meta AI). This project aims to leverage the powerful language understanding capabilities of LLaMA to create an intelligent, responsive, and versatile chatbot that can engage in natural, meaningful conversations with users.
Conversational AI Chatbot using Meta LLAMA3
LLaMAChat is an advanced conversational AI chatbot built using Meta’s LLaMA (Large Language Model Meta AI).
This project aims to leverage the powerful language understanding capabilities of LLaMA to create an intelligent, responsive, and versatile chatbot that can engage in natural, meaningful conversations with users.
Requirements
- Django Web Framework 5.0 or greater
- React Js
- Hugging Face Account (Access Token)
App Usage
- Download the project folder and unzip it.
- Open the command terminal inside the project directory.
- Install python libraries -->
pip install -r requirements.txt - Install react libraries -->
npm install - Run the Django server -->
python manage.py runserver - Run the React frontend server -->
npm start - Create Access Token from Hugging Face and Paste this token as value to HUGGING_FACE variable in settings.py inside metacode folder.
- Open the browser and open http://localhost:3000