Gradio Crash Course - Fastest way to build & share Machine Learning apps

Learn all about Gradio in this Crash Course. Gradio is a Python framework that lets you easily build and share Machine Learning apps.
Website: gradio.app/
Blog article: www.assemblyai.com/blog/getti...
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Timeline:
00:00 Intro
00:29 Getting Started
03:11 Multiple inputs/outputs
04:45 Image & Audio
06:35 Gradio Blocks
09:00 Global & Session states
10:32 Share & host app
#MachineLearning #Python

[@vladislavmoroshan3749]

The simplicity of it is astounding to me. Really cool. Thank you!

[@AssemblyAI]

Glad you like it!

[@moibe182]

I always find your videos so useful!!! You are the best reference for AI learning in youtube. Thanks!!

[@Alley00Cat]

Just started using gradio and I'm in love with it. So quick to prototype, wow.

[@narangfamily7668]

Concise and fun to watch…thanks!

[@geneoverride3725]

That was frickin awesome bro!! Superb tutorial. Instant subscribe 😉

[@techarchsefa]

Solid and awesome. Thank you to explain so simple.

[@far-red]

Awesome… good intro tutorial Thx

[@answkdltdma9828]

great kind explain. thx! u r wonderful

[@matiassanchez3539]

thanks, I spend 2 entires days trying to upload a flask web app. I ended up paying google run, but it was a huge waste of time. I had to learn about docker and a lot of flask. Anyway, this looks very good and fast.

[@VersatileAnthem]

Awesome video. Thanks for the information.

[@AssemblyAI]

Glad it was helpful!

[@Dr_Tripper]

I am more interested in using local seta dn models. I will look around your tips to see if you have anything that will take me there. Good tutorial. Quick and Dirty like we like it.

[@SO-vq7qd]

Great video thank you! Would you know how I can put this on a webpage?

[@gw1284]

Thank you for this crash course, very helpful. have been using streamlit, Gradio seems even simpler than that, How to do multiple page app with gradio?

[@zameerahmed1775]

I am frm India ............ Ur explanation is really awesome. I have a qn for U ?? Is this library confined only for MVP demo or can we tweak this to emulate JS functionalty ??

[@bigbademperor]

Do you have a public link?

[@VaibhavPatil-rx7pc]

Cool and excellent walkthrough!! good job thanks

[@singarajuramya8192]

can you please upload video on classification of images using gradio UI

[@jeysshonbustosjimenez3610]

how do you make a model already have disorder can use gradio

[@720an]

Can someone explain what is the "state" variable in minute 9:50 please? Thank you

[@qbitsday3438]

Hi I am running the sample code in juypter lab locally , there is an error at the outputs , could you help on how do i fix .

[@thechessmaster9291]

Simulation vs. True Intelligence: I am indeed a simulation of intelligence, and the term "artificial" is key. It's a testament to progress in machine learning that I can hold conversations that sometimes feel like they have a spark of real intelligence, but it remains a sophisticated simulation. AI as a Marketing Term: Absolutely. Describing a product or service as "AI-powered" carries serious marketing weight, even if the actual technology behind it is much more straightforward. It's up to consumers to be discerning and evaluate the actual capabilities.

[@gokusaiyan1128]

do you have video/resource of using autogen with Gradio ?

[@deniz.7200]

Any gradio app is giving error when you run it on Python console, is it normal? It runs perfectly as .py from cmd though.

[@yw3546]

Hi, a question: how is t5-base model loaded? Is it directly downloaded from huggingface, or you need to download it yourself and specify it somewhere in a config?

[@yw3546]

I kept receiving connection errors from hugging face btw.

[@DaStuntChannel]

Does it have to be for Machine Learning only? I want to use it to integrate 3D rendering in a webui

[@TheRysiu120]

Yes, using it for anything else is stricly prohibited under death penalty

[@iojoasdfn5995]

pip install gradio error: subprocess-exited-with-error

[@fern092]

At 4:58 latest Gradio gives: demo = gr.Interface(sepia, gr.Image(shape=(200,200)), "image"), TypeError: __init__() got an unexpected keyword argument 'shape' . Please advise on fix.

[@fern092]

Replying myself: remove shape = (200, 200) just use: gr.Interface(sepia, gr.Image(), "image")

[@rahulreddy5567]

@@fern092 thanks bro! been searching for this

[@user-wr4yl7tx3w]

Is it free to use?

[@AbubakarAbid]

Yes it is!

[@johnsmith-wt8gq]

Life is short.

[@SBalajii]

Gradio vs Streamlit, which is better?

[@1kall955]

Gradio is easier to host, streamlit better for deploying to AWS imo

[@AbubakarAbid]

I’m biased but for ML demos I’d say Gradio

[@limjuroy7078]

Personally, I like Streamlit bcuz its documentation is SUPER well documented, make it very easy to understand and to be used. Besides, it has larger community support where you can easily find tutorials online such as KZbin

[@cowanagency]

@@1kall955 is it possible to deploy gradio on AWS instead of hugging face?

[@Jake-bh1hm]

Why aren't all apps programmed this way literally,...

[@flyingdogsoft]

Gradio is one of the most worst code I have ever seen. Horrible 😔 can not recommend. hope somebody develops something similar from scratch.

[@archana0342]

True I hate this

[@NotDead10008]

Why you say that?

[@fral.2708]

Cannot agree more

[@LGseeker]

Streamlit is better, but they now require access to private repos 😢 if you are publishing on cloud