LLM-Powered Chat Application

This repository contains all of the starter code needed to run an LLM-powered chat app on your local machine:

1. Django backend
2. React TypeScript frontend
3. LangChain Agents and LLMs

Getting Started 🚀

To run the chat app, you need to:

1. Clone this GitHub repo
2. Run the backend server
3. Run the frontend app

1. Clone this GitHub repo 📁

To clone this GitHub repo, open up your Terminal (MacOS) or Bash terminal (Windows) and navigate to wherever you want to save this repo on your local machine. Then, run:

git clone https://github.com/virattt/chat_app.git

Make sure that you have git installed (instructions).

2. Run the backend server 🖥️

Once you have this chat_app project cloned locally, navigate to the backend directory:

cd ~/path_to/chat_app/backend

Create and activate a virtual environment:

python3 -m venv myenv

For MacOS/Linux:

source myenv/bin/activate

For Windows:

myenv\Scripts\activate

Install the necessary libraries:

pip install -r requirements.txt

Make sure that you have Redis installed. You can find instructions here. Once installed, run redis:

redis-server

Run the backend server:

daphne project.asgi:application

If your backend server is running correctly, you should see something like this:

"WSCONNECTING /ws/chat/" - -
"WSCONNECT /ws/chat/" - -

Important: In order to run the LLM, set your Open AI API key here.

3. Run the frontend app 💻

In a new Terminal window (or tab), navigate to the frontend directory:

cd ~/path_to/chat_app/frontend

Make sure that you have Node and npm installed (MacOS instructions and Windows instructions)

Install the necessary packages:

npm install

Run the frontend app:

npm start

If successful, your browser should open and navigate to http://localhost:3000/. The chat app should load automatically.

The Chat App UX 🤖

As of May 17, 2023

Troubleshooting ⚠️

If you encounter any issues, send me a message on Twitter!

GitHub

View Github