Thanks for watching! Code link and chapters below 💽 Code: github.com/codingforentrepreneurs/reflex-gpt Chapters 00:00:00 Welcome 00:02:04 Demo 00:05:26 Python Environment and Reflex App Setup 00:08:59 VSCode + Git 00:10:47 New Page and URL Routing 00:14:58 A Component for Layout 00:19:03 Simplify App Structure 00:23:58 Reflex Docs Recipes 00:28:55 Identify Rendered Components in HTML 00:34:32 Navigation Links & Routes 00:38:24 Handling Click Events with Reflex State 00:43:47 Chat Component and Routing 00:46:51 Creating a Form 00:52:49 Conditionally Render Success Message 00:56:32 Timeout Delays with Reflex State 00:58:37 Storing Chat Messages in Memory 01:02:42 Render the Chat Messages 01:09:21 Adding Intelligence to Our Bot with OpenAI 01:22:28 Integrate Reflex with Neon Postgres 01:27:09 Creating a Database Table with Reflex 01:35:47 Your First Database Migration 01:42:46 Adding Data into the Database 01:46:42 Neon Branching for Major Database Migrations 01:52:20 Related Database Table Model 01:59:36 Create DB-stored Chat Sessions 02:07:25 Storing Chat Messages on Neon 02:14:03 Button for New Chat Session 02:17:25 Handling Dynamic URL Routes 02:24:04 Load Stored Chat Session from the Database 02:30:52 Loading Chat Session Messages from the Database 02:35:14 Resetting Reflex State Values 02:42:22 Adding the Dockerfile 02:50:41 Build & Push Docker Containers with GitHub Actions 03:08:06 Using One-Off SSH Keys for Virtual Machines 03:22:36 Deploy Reflex with Docker Compose, Ansible, and GitHub Actions 03:41:17 Thank you and next steps
Awesome tutorial! I'll try mixing this with your previous try langchain tutorial and I can build agents with memory or any complex RAG with memory. Thanks again! However, it would've been nice if we do a vector search on the chat history as well
Thanks, Mitchel! Though I’m not interested in this topic right now, I’ll definitely check it out if I need to. It’s great to see your effort and contribution to the CS domain, especially in Python. I'm looking forward to your tutorial on production and industry practices and approach of Django Rest Framework. Thanks once again for your contribution. Your tutorials are concise, well-structured, and your teaching ability is outstanding. ❤❤
Good morning Sir, It's absolutely amazing. I have been with you and your channel for quite a long time and still every time you give quality content . Actually sir, we are not used to this internet browser you are currently working on . And it makes me Lil confused . If you could shift back to chrome or any other browser that would be appreciated. Rest you are amazing ❤
Thanks for tutorial sir. Sir, could you please create tutorials on building an end-to-end GenAI or LLM-based Python backend application, including model fine-tuning, prompt engineering, and using frameworks like Hugging Face or LangChain?
Thanks for watching! Code link and chapters below
💽 Code: github.com/codingforentrepreneurs/reflex-gpt
Chapters
00:00:00 Welcome
00:02:04 Demo
00:05:26 Python Environment and Reflex App Setup
00:08:59 VSCode + Git
00:10:47 New Page and URL Routing
00:14:58 A Component for Layout
00:19:03 Simplify App Structure
00:23:58 Reflex Docs Recipes
00:28:55 Identify Rendered Components in HTML
00:34:32 Navigation Links & Routes
00:38:24 Handling Click Events with Reflex State
00:43:47 Chat Component and Routing
00:46:51 Creating a Form
00:52:49 Conditionally Render Success Message
00:56:32 Timeout Delays with Reflex State
00:58:37 Storing Chat Messages in Memory
01:02:42 Render the Chat Messages
01:09:21 Adding Intelligence to Our Bot with OpenAI
01:22:28 Integrate Reflex with Neon Postgres
01:27:09 Creating a Database Table with Reflex
01:35:47 Your First Database Migration
01:42:46 Adding Data into the Database
01:46:42 Neon Branching for Major Database Migrations
01:52:20 Related Database Table Model
01:59:36 Create DB-stored Chat Sessions
02:07:25 Storing Chat Messages on Neon
02:14:03 Button for New Chat Session
02:17:25 Handling Dynamic URL Routes
02:24:04 Load Stored Chat Session from the Database
02:30:52 Loading Chat Session Messages from the Database
02:35:14 Resetting Reflex State Values
02:42:22 Adding the Dockerfile
02:50:41 Build & Push Docker Containers with GitHub Actions
03:08:06 Using One-Off SSH Keys for Virtual Machines
03:22:36 Deploy Reflex with Docker Compose, Ansible, and GitHub Actions
03:41:17 Thank you and next steps
😊😊
CodingEntrepreneurs, Youre gonna be famous!
You first 😂
very good tutorial, getting into know Reflex and Neon, I was a Streamlit user, this seems like a very good alternative!
Reflex is an awesome framework, thanks for the vid
Awesome tutorial! I'll try mixing this with your previous try langchain tutorial and I can build agents with memory or any complex RAG with memory. Thanks again! However, it would've been nice if we do a vector search on the chat history as well
Ohhh yeah. That’s easy. Might have to do a quick short one
Thanks, Mitchel! Though I’m not interested in this topic right now, I’ll definitely check it out if I need to. It’s great to see your effort and contribution to the CS domain, especially in Python. I'm looking forward to your tutorial on production and industry practices and approach of Django Rest Framework. Thanks once again for your contribution. Your tutorials are concise, well-structured, and your teaching ability is outstanding. ❤❤
Thanks so much. Just what I needed...👍
Thank you so much . Much needed 👍🏻
vm's are awesome
Are there any reflex tutorials that run through the basics, starting with a blank template and building out from there?
Yup….
Build Full Stack Web Apps in Pure Python with Reflex - No Javascript Required
ua-cam.com/video/ITOZkzjtjUA/v-deo.html
@@CodingEntrepreneurs appreciate the reply I’ll give it a watch
Nice Tutorial. I really like this❤❤❤
Good morning Sir,
It's absolutely amazing. I have been with you and your channel for quite a long time and still every time you give quality content .
Actually sir, we are not used to this internet browser you are currently working on . And it makes me Lil confused . If you could shift back to chrome or any other browser that would be appreciated. Rest you are amazing ❤
Yeah so appreciated ❤🎉🥰
1:14:10 guys, don't forget to pip install openai
never mind, then the author did a pip install requirements
Thanks for tutorial sir.
Sir, could you please create tutorials on building an end-to-end GenAI or LLM-based Python backend application, including model fine-tuning, prompt engineering, and using frameworks like Hugging Face or LangChain?
Did you see my Try Langchain course? Mix it with this one and you’re cooking
@@CodingEntrepreneurs okk sir.
How awesomer !!!
love u man
Cool tutorial, definitely functional and cutting-edge... but gotta say, ugly as sin, no surprise though since its written entirely in python
we need a fast api + nextjs project
Did you watch the Django one?
@@CodingEntrepreneurs i did not
First!😁