harmanpreet7916/idomai

Apply face filters in realtime | Smart Board | Change background - All deploy with Streamlit and MediaPipe

IDOM+ AI 🤓

Teaching Academy with AI

Sample page hosted on Heroku: tryit ... https://idomai.herokuapp.com/ 📢

Getting Started 🎁

1. Clone repository: For security use SSH keys.

   git clone https://github.com/AdonaiVera/idomai.git

2. Install dependencies.

   pip3 install -r requirements.txt

3. Run commands

   streamlit run app.py

4. Enjoy

Manual deployment 📦

Manual deployment to heroku

Prerequisites

1. Set up heroku command.

2. Add heroku-buildpack-apt to buildpacks.

   $ heroku buildpacks:add --index 1 heroku-community/apt

Deploy

If dependencies have changed, update requirements.txt

1. Update requirements.txt.

   $ make deps/update

2. Commit it.

   $ git add requirements.txt
   $ git commit -m "requirements.txt"

Deploy the current branch to Heroku

git push heroku <current-branch>:main

Manual deployment to app services Azure 📦

Prerequisites

1. Install docker
2. Instal Azure CLI locally

Deploy

If codes have changed, you should rebuild the docker images

Build

docker build --tag idomai-app .

Try it locally

docker run -p 8501:8501 idomai-app

Access locally

http://localhost:8501/

Deploy the docker image and save to Azure container Registry

az acr build --registry idomAIRegistry --resource-group idomAI --image idomai-app .

Architecture 📌

Architecture is divided intro three main parts:

1. WEB APP develop in streamlit.
2. Computer vision class develop in Python with mediaPipe and OpenCV.
3. Azure media services to stream videos in real time

Build with 🛠️

Mention the tools you used to create your project

• MediaPipe - ML solutions for live and streaming media.
• Streamlit - Web apps framework.
• AzureMediaSerives - Streaming video platform.
• OpenCV - Image Processing library

Contribute ✒️

• Adonai Vera - AI developer Geta Club - AdonaiVera