Skip to content

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.

Notifications You must be signed in to change notification settings

pyserve/MetaLLAMA3Chatbot-conversational-AI-chatbot

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.

image

image

Requirements

  1. Django Web Framework 5.0 or greater
  2. React Js
  3. 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

About

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.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published