My research of classification models and deployment of model to docker using flask.

How to run:

1. Install and run Docker
2. Build Docker image using docker build . -t simp_server
3. Run Docker container using docker run --rm -it -p 8888:8888 simp_server
4. Go to http://localhost:8888/

Source code

• simpsons_baseline.ipynb contains my research
• demo.py contains server logic
• model/model.py class of model
• templates and static includes html and css files for app
• Dockerfile describes a Docker image that is used to run the app

Example

1. Run the docker container and open the http://localhost:8888/.
2. Upload your image and press Predict button.
3. Now we have prediction and probability.