ML-Pneumonia Detection Model-Flask-Deployment

This is a demo project to elaborate how Machine Learn Models are deployed on production using Flask API

Prerequisites

You must have Flask (for API) installed.

Project Structure

This project has four major parts :

1. index.html - This contains code for accepting xray images to detect pneumonia
2. app.py - This contains Flask APIs that receives images from GUI or API calls, computes the precited value based on our model and returns it.
3. model.h5 - pretrained model

Running the project

1. Ensure that you are in the project home directory. Create the machine learning model by running below command -

python model.py

This would create a serialized version of our model into a file model.pkl

2. Run app.py using below command to start Flask API

python app.py

By default, flask will run on port 5000.

3. Navigate to URL http://localhost:5000