Source code for the tutorial 'Deploying a machine learning model with a Flask API' written for HyperionDev.
In this tutorial we take the image classification model built in model.py which recognises Google Street View House Numbers. Using Flask to create an API, we can deploy this model and create a simple web page to load and classify new images.
To run locally:
- Install pip and Python 3
- Clone this repository
git clone https://github.com/elliebirbeck/model-deployment-flask.git - Navigate to the working directory
cd model-deployment-flask - Install the Python dependencies
pip install -r requirements.txt - Run the API
python api.py - Open a web browser and go to
http://localhost:8000
