Coding for Entrepreneurs

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Full Stack Python AI Chatbot

Build your own AI Chatbot with pure Python

Welcome to Reflex GPT!

In this course, we are going to build a chatbot that is a lot like ChatGPT. The main difference? You will control every piece of it: from the user interface, to how to store chats, all the way to what large language AI model you want to use.

AI capabilities are exploding so we want to build an interface that makes it easy to adapt to new cutting edge tools. For this, we are going to use Reflex as our web app. Reflex is a tool that enables you to write just Python code to build a highly interactive frontend and backend all in one codebase. While I recommend you take this Reflex course before this one, it's not required. Just some Python knowledge.

The Tech Stack

Python 3.11 (or up)
Reflex
OpenAI gpt-4o-mini (or latest)
Serverless PostgreSQL via Neon
Virtual Machine for deployment via Linode

References

Code is on our GitHub
Check out the deploy Reflex with Neon blog post

This course is brought to you in partnership with Neon.

Full Stack Python AI Chatbot

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Lessons

Welcome

2:02

Demo

3:18

Python Environment and Reflex App Setup

3:28

VSCode + Git

1:44

New Page and URL Routing

4:06

A Component for Layout

4:01

Simplify App Structure

4:51

Reflex Docs Recipes

4:53

Identify Rendered Components in HTML

5:32

Navigation Links & Routes

3:48

Handling Click Events with Reflex State

5:18

Chat Component and Routing

3:00

Creating a Form

5:53

Conditionally Render Success Message

3:39

Timeout Delays with Reflex State

2:01

Storing Chat Messages in Memory

4:01

Render the Chat Messages

6:34

Adding Intelligence to our Bot with OpenAI

13:03

Integrate Reflex with Neon Postgres

4:36

Creating a Database Table with Reflex

8:33

Your First Database Migration

6:55

Adding Data into the Database

3:51

Neon Branching for Major Database Migrations

5:34

Related Database Table Model

7:12

Create DB-stored Chat Sessions

7:44

Storing Chat Messages on Neon

6:34

Button for New Chat

3:17

Handling Dynamic URL Routes

6:35

Load Stored Chat Session from Database

6:43

Loading Chat Session Messages from Database

4:18

Resetting Reflex State Values

7:03

Adding the Dockerfile

8:15

Build & Push Docker Containers with GitHub Actions

17:20

Using One-Off SSH Keys for Virtual Machines

14:26

Deploy Reflex with Docker Compose, Ansible, and GitHub Actions

18:37

Thank you and next steps

1:04

Full Stack Python AI Chatbot - Coding for Entrepreneurs