Notice
This repository is derived from: https://github.com/imfing/keras-flask-deploy-webapp. Some modifications were made.

The following instructions may not work, if I have some time in the future I'll review them.

FourthBrain capstone project demo

For this to work three models need to be updated to the models folder and also that needs to be configures in the model.py if the names don't match.

Screenshot:

Getting Started

• Clone this repo
• Install requirements
• Run the script
• Go to http://localhost
• Done!

New Features

• Support image drag-and-drop
• Use vanilla JavaScript, HTML and CSS. Remove jQuery and Bootstrap

---

Run with Docker

Note: not tested!

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

# 1. First, clone the repo
$ git clone https://github.com/tomos-ai/capstone-demo.git
$ cd capstone-demo

# 2. Build Docker image
$ docker build -t capstone-demo .

# 3. Run!
$ docker run -it --rm -p 80:80 capstone-demo

Open http://localhost 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/tomos-ai/capstone-demo.git
$ cd capstone-demo

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

# 3. Run!
$ python app.py

Open http://localhost and have fun.

---

Deployment

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

Details

Run the app

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

$ python app.py

Note: gunicorn not tested!

You can also use gunicorn instead of gevent

$ gunicorn -b 127.0.0.1 app:app

More deployment options, check here

Set up Nginx

Note: not tested!

To redirect the traffic to your local app. Configure your Nginx .conf file.

server {
  listen  80;

  client_max_body_size 20M;

  location / {
      proxy_pass http://127.0.0.1;
  }
}

More Resources

Building a simple Keras + deep learning REST API