Teaching Academy with AI
Sample page hosted on Heroku: tryit ... https://idomai.herokuapp.com/ ๐ข
-
Clone repository: For security use SSH keys.
git clone https://github.com/AdonaiVera/idomai.git
-
Install dependencies.
pip3 install -r requirements.txt
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Run commands
streamlit run app.py
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Enjoy
-
Set up
heroku
command. -
Add
heroku-buildpack-apt
to buildpacks.$ heroku buildpacks:add --index 1 heroku-community/apt
-
Update
requirements.txt
.$ make deps/update
-
Commit it.
$ git add requirements.txt $ git commit -m "requirements.txt"
git push heroku <current-branch>:main
- Install docker
- Instal Azure CLI locally
docker build --tag idomai-app .
docker run -p 8501:8501 idomai-app
http://localhost:8501/
az acr build --registry idomAIRegistry --resource-group idomAI --image idomai-app .
Architecture is divided intro three main parts:
- WEB APP develop in streamlit.
- Computer vision class develop in Python with mediaPipe and OpenCV.
- Azure media services to stream videos in real time
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
- Adonai Vera - AI developer Geta Club - AdonaiVera