Simple Machine Learning GUI App with Taipy and Tensorflow
166,358
Published 2023-11-24
We will use an open source library called Taipy for our stylish Python GUI and a framework called TensorFlow for all the machine learning tasks.
By the end of this tutorial, you will understand how to process image data for machine learning tasks, you will learn how to create and save your own image processing neural networks, as well as wrapping them in a user-friendly Python website!
⭐ For more information about the Taipy GUI, checkout their GitHub repo:
github.com/Avaiga/taipy
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⏰ TIME STAMPS ⏰
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Part 1. Graphic Interface
00:00 - 01:08 - introduction
01:08 - 03:44 - basic Taipy GUI
03:44 - 04:41 - basic HTML webpage
04:41 - 05:02 - basic Markdown webpage
05:02 - 06:23 - image control component
06:23 - 06:56 - styling with Python
06:56 - 07:37 - file selector control component
07:37 - 08:41 - text and line breaks
08:41 - 09:57 - wireframe review and refactoring
09:57 - 13:03 - updating components on state change
13:03 - 14:43 - indicator control component
Part 2. Machine Learning
14:43 - 19:21 - create your own neural network
Part 3. Put it Together
19:21 - 20:54 - load neural network
20:54 - 23:54 - process user provided image
23:54 - 26:04 - make prediction
26:04 - 29:16 - display prediction on GUI
29:19 - 30:51 - test complete app
💻 STARTER FILES 💻
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github.com/MariyaSha/ml_gui_app
⚡TEST THE LIVE APP ⚡
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classifier.taipy.cloud/
☁️ DEPLOY YOUR OWN APP ☁️
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You can host your app for free on Taipy's cloud (it will run for 2hrs every day, but you can always upgrade).
1️⃣ Step 1. Revise the requirements.txt file to include ONLY the following lines (no versions needed, just the names of the libraries, and please erase everything else):
taipy
tensorflow
pillow
numpy
2️⃣ Step 2. rename classifier.py to main.py.
3️⃣ Step 3. wrap the following files in a zip archive:
- main.py
- baseline.keras
- logo.png
- placeholder_image.png
4️⃣ Step 4: sign up to Taipy cloud: cloud.taipy.io/
5️⃣ Step 5: add a machine
6️⃣ Step 6: add an app to your machine, upload the zip archive from step 3.
7️⃣ Step 7: wait a bit... and your app is LIVE!!! 🤩🤩🤩
🤝 Connect with me 🤝
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🔗 Github:
github.com/mariyasha
🔗 Discord:
discord.com/invite/wgTTmsWmXA
🔗 LinkedIn:
ca.linkedin.com/in/mariyasha888
🔗 Twitter:
twitter.com/mariyasha888
🔗 Blog:
www.pythonsimplified.org/
💳 Credits 💳
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⭐ Beautiful titles, transitions, sound FX:
mixkit.co
⭐ Beautiful icons:
flaticon.com
⭐ Beautiful graphics:
freepik.com
#python #pythonprogramming #machinelearning #artificialintelligence #datascience #tensorflow #programming #coding #application #neuralnetworks #ml #ai #technology #computer #computerscience
All Comments (21)
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This video shows significant improvement, and I can truly feel the difference. I used to watch your introductory Python course, which, honestly, made me a bit drowsy. However, this video has completely grabbed my attention. The choice of a more challenging topic, coupled with a web page, is exactly what I needed to engage with machine learning without feeling overwhelmed. Your creative blend of machine learning and Python GUI is both refreshing and informative.
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Your simplified approach to teaching is fantastic! The hands-on practice and relatable examples truly make these subjects easier to grasp. Thank you for creating an engaging learning environment that encourages exploration and experimentation.
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You did a great job of presenting the material and you outshine technical educators with your lack of monotone speech. Very well done and you absolutely kept the energy up for the whole video. You did something that's actually hard to do and is rarely seen in this industry. Yay!
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The joy, smile and clear pronounce you bring during your tutorial make everything looked simple. Really love to learn from you... 🎉
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You're a good teacher. Thank you for doing this!
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she did it again! great work! thank you!
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I am very surprised that this channel has not been fed to me yet. Love the content!!
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Excellent walk-through - really love your fast-paced style
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please please please make us a complete Taipy tutorial, please
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I made my first ml project today because of what you did here, thank you.
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Been following all the tutorials,,they are all well presented and made me have a real passion to python and coding in general😇
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You helped me fall in love with Python. Thank you for teaching me!
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This video is giving me multiple ideas for new projects. This is indeed Python Simplified!
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Learning Python right now and aiming to learn more languages your videos are helpful, so you gain my subscription
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You are the best, I love your content and your voice. Thank you very much
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GREAT! THANK YOU!! We did not know about Taipy and how to setup interfaces to our TensorFlow projects. Next, we will try it with PyTorch !
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Amazing tutorial. Thank you. In one tutorial you show me more about AI than any other I have seen.
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This was a really inspiring video for my projects. As a molecular biologist, my knowledge of artificial intelligence is very limited. However, this video gave me the idea that it might be possible to design a neural network to define why we are human. If one day I achieve this feat, I will be immensely grateful for your teachings.
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This is by far the best video I’ve seen on YouTube because it literally just saved my life. I’m an MSc student and my deep learning was to build cnn model that classifies waste images. My next step is deployment and I’ve been everywhere. I stumbled upon this video and i wish i can meet you to say thank you 😢. God bless you. This is super amazing. The details and explanation is extraordinary.
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Excellent tutorial!
