A minimal and customizable repo to deploy your image models as web app easily.

• Quick run with Docker:

  docker run --rm -p 5000:5000 ghcr.io/imfing/keras-flask-deploy-webapp:latest

• Go to http://localhost:5000 and enjoy 🎉

Screenshot:

• Enhanced, mobile-friendly UI
• Support image drag-and-drop
• Use vanilla JavaScript, HTML and CSS. No jQuery or Bootstrap
• Switch to TensorFlow 2.x and tf.keras by default
• Upgrade Docker base image to Python 3.11

$ docker run --rm -p 5000:5000 ghcr.io/imfing/keras-flask-deploy-webapp:latest

With Docker, you can quickly build and run the entire application in minutes 🐳

# 1. First, clone the repo
$ git clone https://github.com/imfing/keras-flask-deploy-webapp.git
$ cd keras-flask-deploy-webapp

# 2. Build Docker image
$ docker build -t keras_flask_app .

# 3. Run!
$ docker run -it --rm -p 5000:5000 keras_flask_app

Open http://localhost:5000 and wait till the webpage is loaded.

It's easy to install and run it on your computer.

# 1. First, clone the repo
$ git clone https://github.com/imfing/keras-flask-deploy-webapp.git
$ cd keras-flask-deploy-webapp

# 2. Install Python packages
$ pip install -r requirements.txt

# 3. Run!
$ python app.py

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

It's also easy to customize and include your models in this app.

Note Also consider gradio or streamlit to create complicated web apps for ML models.

Building a simple Keras + deep learning REST API