A pretty and customizable web app to deploy your DL model with ease

• Clone this repo
• Install requirements
• Run the script
• Check http://localhost:5000
• Done! 🎉

👇Screenshot:

$ git clone https://github.com/nursnaaz/DataScience-Webinar-Inceptez-28-06-2020.git

$ pip install -r requirements.txt

Make sure you have the following installed:

• Flask
• h5py
• Keras
• Keras-Applications
• Keras-Preprocessing
• numpy
• scikit-learn
• scipy
• tensorflow
• opencv-python

Python 3.7+ are supported and tested.

$ python app.py

Open http://localhost:5000 and have fun. 😃

Place your trained .h5 file saved by model.save() under models directory.

To deploy it for public use, you need to have a public linux server - Ubuntu.

Run the script and hide it in background with tmux or screen.

$ python app.py

You can also use gunicorn instead of gevent

$ gunicorn --workers=50 --threads=20 --bind 0.0.0.0:8000 app:app

More deployment options, check here

Check Siraj's "How to Deploy a Keras Model to Production" video. The corresponding repo.

Building a simple Keras + deep learning REST API