Now THIS is a real tutorial video. I will be watching this several times over the coming weeks.

Oh man! That's awesome. Explanation, blog, timestamps, etc. Where in the world could you get such a quality learning? Here.

This was fantastic! I havnt done any programming since I was a kid back when I was coding in VB3. I’ve been thinking of getting back into programming and I’m just blown away with how easy it’s become, especially with building a nice user interface. Thanks for posting this! I feel like a kid again on Christmas Day! 😂

Love the video, the pace, the explanation style and the focus on aesthetics. I hate all the videos about how easy it is to make a streamlit app in 100lines of code and then they show it and it looks like a 5 year old made it. I've used plotly dash for quite some time and never made the switch. Would you recommend using streamlit instead of dash for 'applications' where there are more buttons/user actions vs dash which usually seems more for live dashboard visualisation and adding 'ui' elements often feels quite clunky

Ultimate video that i was looking for. Google never suggested me since 2 months. Today perplexity recomendded your video. I must say this is the best one. Thanks 🙏. Can u make a video on Building a RAG pipeline on schema of a SQL database like Postgres and chunk it & embedding it on to pgvector extension to load only relavant schema in order to optimise tokens and prompt size & then passing natural language to sql with defog SQL Coder and futher give insights like how this video works. Thanks in advance

I couldn't tell it's your first time until I read @Me-in-a-Nut-Shell 's comment... in fact, I was pacing to open up vscode and follow along beacuse that's how relevant and intriguing your content is... subscribed, looking forward to the next one. Remember us when you get your first YT button :)

welcome to KZfaq anna

This tutorial is extremely helpful. Question though, have you thought about saving all analysis, questions and answers to a "custom word document" which can be used as documentation? I believe this tutorial is important for auditors and if they can chat with documents and files, and save these questions and responses as documentation.

Simply awesome. Your explanations are so clean and detailed. Can’t wait for the next episode. ❤ Do you have any video on Azure OpenAI ?

thank you so much!!! you deserved more subscribers!!

Great explanation @digiLabAcademy. Thank you. ..subscribed!.. It will be nice if you can also do a video on using an open source model like llama-2.

keep posting ore such amazing tutorials ...!!!!!!

Thanks for your video! Great quality

Great job❤ you have my support

nice! how did mange to write the code and then see what u write in the streamlit? is it only available in mac?

Thank you for the ToC!

Awesome Ana .... but the create dataframe is undergoing some changes to "experimental" version - and hence doesn't seem to work...

Thank you so much for this great content. However, i think on bringing on the part 2 there should be a session that speaks about the files that we ought to create for the projects code to functional optimally just as yours. Sadly, my lines of codes as accurate as yours happens to give no diaplay at all when i run it via the localhost. I saw that you used a perhaps linux or Mac OS but mine here is windows. Please look into this also. Thank you for your great work.

you did an awesome job😍 can we do the same using database instead of csv file.

How is this different from Data Analysis feature inside ChatGPT? And what use cases I could possibly use this?

would it be possible to replace Open-AI API key with a local model from huggingFace?

Can you make a video do the same thing using Google Gemini Pro API Key? Please

Hi, Please can someone help me? I have the following problem when compiling my code: ValueError: An output parsing error occurred. In order to pass this error back to the agent and have it try again, pass `handle_parsing_errors=True` to the AgentExecutor. This is the error: Could not parse LLM output: `df.head() | Date, Open, High, Low, Close, Adj Close, Volume`

Great

Are OpenAI credits free?

Does the create pandas agent work only with OpenAI. I am trying to get it to work with Llama2 locally and I get parse error like "Could not parse LLM output: `"

Anyother Free API similar to OpenAI because mine Rate limit out off

can i get the github repo of this code?