Deploy Keras Model with Flask as Web App in 10 Minutes

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

Getting Started

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 :tada:

Screenshot:

New Features :fire:

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

Run with Docker

Use prebuilt image

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

Build locally

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

# 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.

Local Installation

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. :smiley:

Customization

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.

Details

### Use your own model Place your trained `.h5` file saved by `model.save()` under models directory. Check the [commented code](https://github.com/mtobeiyf/keras-flask-deploy-webapp/blob/master/app.py#L37) in app.py. ### Use other pre-trained model See [Keras applications](https://keras.io/applications/) for more available models such as DenseNet, MobilNet, NASNet, etc. Check [this section](https://github.com/mtobeiyf/keras-flask-deploy-webapp/blob/master/app.py#L26) in app.py. ### UI Modification Modify files in `templates` and `static` directory. `index.html` for the UI and `main.js` for all the behaviors.

More Resources

Building a simple Keras + deep learning REST API

imfing / keras-flask-deploy-webapp

readme