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Streamlit
Приєднався 30 вер 2019
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps in only a few lines of code
Building AI-powered apps with Replit and Streamlit
In this video, Matt Palmer from @replit shows us how to build an AB testing app with the help of AI, Replit and Streamlit. Briefly, Replit is a browser-based coding workspace that streamlines app development and deployment.
Building the demo app ...
🕹️ Demo app ab-testing.replit.app/
🐙 Replit recipe in Streamlit Cookbook github.com/streamlit/cookbook/tree/main/recipes/replit
🔗 Replit repo replit.com/@matt/Streamlit-AB-Testing?v=1&
Documentation
📖 Replit docs.replit.com/?v=1&
📖 Streamlit docs.streamlit.io/
Connect with Matt:
🔗 x.com/mattppal
🔗 www.linkedin.com/in/matt-palmer/
⏰ Timeline
0:00 Overview
0:11 About Matt
0:34 What is Replit?
2:21 AB testing demo app
4:19 Code walkthrough of demo app
10:44 Code with Replit AI
11:32 Deploy with Replit
15:40 Installing libraries on Replit
19:48 App going to sleep?
20:53 Compute usage limit
21:54 Replit Docs
22:33 Replit Templates
24:42 More about Replit AI
25:27 Replit free tier and Replit Core
27:07 Thought process on creating the demo app
31:43 Timeline of building the demo app
33:34 Conclusion
34:27 Connecting with Matt
#replit #streamlit #python #ai #app
Building the demo app ...
🕹️ Demo app ab-testing.replit.app/
🐙 Replit recipe in Streamlit Cookbook github.com/streamlit/cookbook/tree/main/recipes/replit
🔗 Replit repo replit.com/@matt/Streamlit-AB-Testing?v=1&
Documentation
📖 Replit docs.replit.com/?v=1&
📖 Streamlit docs.streamlit.io/
Connect with Matt:
🔗 x.com/mattppal
🔗 www.linkedin.com/in/matt-palmer/
⏰ Timeline
0:00 Overview
0:11 About Matt
0:34 What is Replit?
2:21 AB testing demo app
4:19 Code walkthrough of demo app
10:44 Code with Replit AI
11:32 Deploy with Replit
15:40 Installing libraries on Replit
19:48 App going to sleep?
20:53 Compute usage limit
21:54 Replit Docs
22:33 Replit Templates
24:42 More about Replit AI
25:27 Replit free tier and Replit Core
27:07 Thought process on creating the demo app
31:43 Timeline of building the demo app
33:34 Conclusion
34:27 Connecting with Matt
#replit #streamlit #python #ai #app
Переглядів: 1 564
Відео
Building AI-powered apps with Weaviate and Streamlit
Переглядів 2,5 тис.14 днів тому
In this video, JP shows how you can connect Streamlit to Weaviate, an AI-native database. JP will introduce you to the Streamlit Weaviate connection is, and how it helps you to build AI-powered Streamlit apps faster. He will walk through a Jupyter notebook and a demo Movie search app to demonstrate the connection and how to use it. Streamlit Weaviate Connection 🕹️ Demo app weaviate-movie-magic....
Building AI-powered apps with Replicate and Streamlit
Переглядів 3,9 тис.Місяць тому
In this video, Zeke, a Software Engineer from the Replicate team, joins us for a tutorial on using open-source AI models hosted on Replicate in a Streamlit app. Don't feel like watching a video? Here are some other ways to explore Replicate and the demo app: 🔗 Learn more about Replicate: replicate.com/ 🔗 See the deployed app: replicate-recipe.streamlit.app 🔗 Pull down the code for the demo app ...
Building a Machine Learning App in Python with Streamlit
Переглядів 10 тис.Місяць тому
In this video, @DataProfessor shows you how to build a machine learning web app from scratch. Briefly, we'll load in a dataset, pre-process the data, build a machine learning model, craft a frontend user interface (UI) that will allow users to provide input data by interacting with slider widgets. Python libraries that we'll be using include numpy, pandas, scikit-learn, and streamlit. 🕹️ Demo a...
Streamlit Crash Course: From Zero to Data App
Переглядів 6 тис.Місяць тому
In this video, @DataProfessor consolidates all of the essential concepts and practicals to help you get started with Streamlit in this crash course. You'll be able to go from zero to data app in less than half an hour! Briefly, we'll introduce you to the Streamlit web framework and show you how to create interactive web apps using pure Python. Next, you'll learn how to develop your apps both lo...
Building an interactive EDA app with a movies dataset
Переглядів 4,7 тис.Місяць тому
If you've ever wondered questions such as what makes a successful movie, which movie genre performs best at the box office, then you're in luck! In this video, @DataProfessor shows you how to build an interactive data explorer app for analyzing a movies data set. 🕹️ Demo App movies-explorer.streamlit.app/ 🐙 Code github.com/dataprofessor/movies-explorer #streamlit #eda #python #datascience #data...
Building the Streamlit App Builder
Переглядів 6 тис.2 місяці тому
In this video, @DataProfessor will show you how to build a Streamlit app that is capable of building another Streamlit app. Sounds a bit meta? You’ll be able to either show or tell what app you want to be built. You can SHOW how you want the app to be built providing a mock-up image of the app (you can draw this on a piece of paper, create a mock-up using Figma or doodle online using Excalidraw...
Learning to code with Streamlit
Переглядів 1 тис.2 місяці тому
In this video, Eric Matthes, author of the Python Crash Course book, explores the importance of coding and how Streamlit makes sharing code and apps easy. 🐍 Python Crash Course nostarch.com/python-crash-course-3rd-edition #streamlit #python
Streamlit 101 - A faster way to build and share data apps
Переглядів 11 тис.3 місяці тому
Streamlit 101 - A faster way to build and share data apps
Build Interactive Geospatial Web Apps with Leafmap and Streamlit
Переглядів 8 тис.4 місяці тому
Build Interactive Geospatial Web Apps with Leafmap and Streamlit
Streamlit Meetup: San Francisco (April 17, 2024)
Переглядів 5614 місяці тому
Streamlit Meetup: San Francisco (April 17, 2024)
How to explore data in Python with PyGWalker and Streamlit
Переглядів 12 тис.4 місяці тому
How to explore data in Python with PyGWalker and Streamlit
Streamlit Meetup: New York City (March 28, 2024)
Переглядів 4384 місяці тому
Streamlit Meetup: New York City (March 28, 2024)
Crafting a Dashboard App in Python using Streamlit
Переглядів 55 тис.8 місяців тому
Crafting a Dashboard App in Python using Streamlit
Introducing the State of LLM Apps 2023 Report
Переглядів 1,9 тис.9 місяців тому
Introducing the State of LLM Apps 2023 Report
Introducing AppTest: a faster way to build high quality Streamlit apps
Переглядів 5 тис.10 місяців тому
Introducing AppTest: a faster way to build high quality Streamlit apps
Build Streamlit apps in your browser with GitHub Codespaces
Переглядів 13 тис.11 місяців тому
Build Streamlit apps in your browser with GitHub Codespaces
How to write a blog post for Streamlit
Переглядів 1,9 тис.Рік тому
How to write a blog post for Streamlit
How to build a ChatGPT-like clone in Python
Переглядів 12 тис.Рік тому
How to build a ChatGPT-like clone in Python
Write a Streamlit app in seconds using ChatGPT
Переглядів 4,2 тис.Рік тому
Write a Streamlit app in seconds using ChatGPT
Introducing st.connection for connecting to SQL database in 4 lines
Переглядів 15 тис.Рік тому
Introducing st.connection for connecting to SQL database in 4 lines
How to share your presentation deck as a Streamlit app
Переглядів 3,9 тис.Рік тому
How to share your presentation deck as a Streamlit app
How to create an Instagram hashtag generation app with Streamlit
Переглядів 2,1 тис.Рік тому
How to create an Instagram hashtag generation app with Streamlit
Detection of human or AI generated text with the GPTZero
Переглядів 1,1 тис.Рік тому
Detection of human or AI generated text with the GPTZero
13:07
Wawww that is very intersting. I have seen the previous episoids (the way to deploy AI powered application with streamlit) also it is awesome.
This was the tutorial I was waiting for. Awesome. This completed the whole full stack app circle. Thanks
Thank you for your implication, from Spain
Can we use it for publication purposes?
Good tuto, but i want to known how to store data sent by the users. I mean the questions asked by users
The multi-agent system of CrewAI is amazing! SmythOS provides over 30 pre-built AI agent templates and easy interfaces with various AI models and APIs for even greater adaptability. #Innovation #AI #SmythOS
Streamlit is only for hobbyists, it nothing more than that, it is not designed to do serious stuff. The biggest thing about Streamlit is at re-runs and re-runs even when you want it to halt and give result. Create one page stuff, use Streamlit, want to create enterprise grade application don’t waste your time it will fall apart like a pack of cards.
I would like to extend my heartfelt thanks to you and everyone who works at Streamlit. Your app has just saved me a lot of time. I am in a crunch to finish my final undergraduate ML project, and because of Streamlit I have 'built' a UI for my model with only a few hours to spare. I'm so so grateful to all the engineers. God bless.
How do you make in work directly with an SQL server ? It looks like you need to pre-load the data first
It's crazy that CEO's, VPs, PMs and Ops Analysts can't be bothered to learn how to open a Jupyter Notebook to ascertain all this data, often times forcing Engineers to double their reporting work by having to port all that over to a spreadsheet dashboard for them 😂😂. GGs to Streamlit for seeing the market there to middle man that redundancy and make Eng lives a little easier. But srsly an MBA should not be given out unless a grad can open a Jupyter Notebook 😭
repo link??
Thanks for the extraordinary work, but i have a problem when i deploy the streamlit app, always get this message File "/home/adminuser/venv/lib/python3.12/site-packages/leafmap/__init__.py", line 140, in <module> raise Exception(e), you know how i can fix it?
Very cool app, thanks!
Streamlit app auto reloads the moment I drag and drop the column to x or y axis. What do I do?
can i use public models on ollama in replicate? That are finetuned to my usecase as it was my private version on replicate?
Recien llegue, lo vere antes de dormir. Gracias por el video!!!
The Streamlit community would greatly benefit from a feature that allows for isolated cookie saving for different users. Has this been considered by the development team?
I've gotten over this specific issue by building a database using supabase and storing information in it for different users. I've also made a frontend with javascript as its more reactive and performant than streamlit. Regardless, streamlit is good for quick concept design and mvp's.
I’ve done the same, the other benefit was supabases built in auth
We recently added st.context to read cookies. But we don't have write support yet. Feel free to comment and upvote on this issue: github.com/streamlit/streamlit/issues/861
I work with a lot of time series data at fairly large scale (10k to 500k rows), I love the idea of pygwalker but I found that it does not scale as well as tableau desktop. Do you have any plans to improve the performance of pygwalker for this kind of scale, where aggregation is not an option?
I have projecct facee recog with insightface, how to configure make online with streamlit
the probability changed after you renamed the columns
it would be amazing to have an option for the login to be also local like the st.authenticator
Amazing app...learnt a lot from this tutorial
you are the best
share streamlit is banned in Iran, you can remove the ban so that we can open share streamlit without a filter breaker
Use instead a vpn
you can host on your own computer and just use a cloudlfare tunnel to give it a URL. all you'd need to do then is buy a cheap domain name.
amazing, can you please mention which framework you used to create these stunning mock ups?
Hi, I've used Excalidraw for creating these mockups.
share streamlit in Iran needs vpn, I have to connect with vpn Introduce a host for Streamlit so that I can connect in Iran without the need for VPN
Awesome, nice job 🙏
That's my role model
Great job, thank you
Thanks for watching!
Thanks for making such interactive sessions, hope to see more in future .. 👍
lets say i create an app which uses openai api key. When I upload to community I store this api key in secret location in community. But if someone runs my app, will that consume my api usage???
It won't. That person needs his/her own API key.
I am seriously considering this as part of a new dev stack. I'm concerned about responsiveness and mobile capabilities. How does state get handled etc. Looking forward to learning.
Don’t waste time, it’s only good for single page stuff. It attracts developers because it is easy but in reality it is not scalable.
Master, I have heard a lot of criticism that Streamlit does not support large volumes of connections. What could you comment about it?
Same here...Its such a great tool... dunno why folks dont prefer to use this at prod scale ....
I’ve always had issues with Streamlit on Chrome and other browsers when trying to upload documents. It only works well with Firefox. Are you planning to fix this with Streamlit? The error I get is: “AxiosError: Request failed with status code 403”
Thanks sir.. if the streamlit app has references to api key..how is that to be managed? Also screens look so different now.. I just uploaded the py but it errored with module not found.
Hi, the module not found error suggests that dependency libraries are missing. Can you make sure to create requirements.txt file that contains a list of dependent Python libraries.
What if duo MFA is enabled for snowflake accounts how can we enable this.Thanks in advance
Unfortunately, you can't rename your app in July 2024
Nice work. Can you please make video showing how to use a ML model in Streamlit in which user can upload an image (containing text) and the ML model output is the detected text from the image?
this can be done using gemini api effectively ,
Comprehensive video
Nice video, thank you. What’s your opinion on using Shiny vs Streamlit? For your own apps to you deploy them either or both?
really thank you
sos un groso bro!!!
Streamlit ois indeed a powerfull tool !
streamlit@
Wow this is an amazing app! Which program you are using for the mockup? Thank you!
This mockup was drawn using Excalidraw.
Thank you for this very useful video!
Considering recent events. It might be better to distance Streamlit from Snowflake.
this is impressive, can you please provide the CRUD operations a app with snowflake datawarehouse
This is a great showcase of how capable Streamlit web apps can be! Please keep them coming!