Create ML/AI Web App with Python and Streamlit - PencilSketcher App

 

This video helps you create a Web Application from any Machine Learning or Computer Vision or Artificial Intelligence code that're usually built on Jupyter / Google Colab Notebooks. We start by building front-end using streamlit (no html,css,javascript required) and then use the previously built Pencil Sketch Code to build the back-end function ending up with a Full-Stack Web Application that could be easily deployed on Heroku or PythonAnywhere for free. Note: In this project, There's no Machine Learning involved. It's just Image Procession / Computer Vision using OpenCV. But, This is the same code skeleton that could be used for any ML or AI or CV Code Packages used: Streamlit, Pillow, OpenCV, Numpy Full Code: https://github.com/amrrs/youtube-r-snippets/blob/master/pencilsketch_webapp.py Previous Video: https://youtu.be/Cy7FDbbIzZM (Create a Pencil Sketch Portrait with Python OpenCV) Related Video: Quickly deploy ML WebApps from Google Colab using ngrok - https://youtu.be/AkEnjJ5yWV0 Intro to Plotly Express - Complex Interactive Charts with One-Line of Python Code - https://youtu.be/QdqFZMQVCw4