This project contains the Notebook and sample web app to test the model generated by AutoAI.

Want to learn about AutoAI and how it works? Visit this link to read the blog article from datawrangler.in

• Python Notebook generated automatically by AutoAI: Click here to have a look at the generated notebook.

Refer to this video on how to create an AutoAI service and deploy the model to production.

• A Sample web app to utilize the deployed model as a web api for the prediction of the onset of Diabetes.

Make sure you have access to a target space with your model deployed and an IAM key generated for the model API to be invoked.

• Creating IAM Key and Deployment Key: Refer to this video to create an IAM Key: https://youtu.be/XLuh7AeSWCw?t=1123 and Deployment Key: https://youtu.be/XLuh7AeSWCw

• Clone the project directory as:

$ git clone https://github.com/datawrangl3r/autoai-diabetes-prediction.git
$ cd autoai-diabetes-prediction/webapp

• Initialize a virtual environment:

$ python3 -m venv .
$ source bin/activate

• Install the prerequisites:

$ pip install -r requirements.txt

• Edit the file app.py to include the IAM key created from the previous step. Replace the text YOUR IAM KEY GOES HERE with your generated IAM key. Also, replace the text YOUR DEPLOYMENT ID GOES HERE with the created deployment key.

• Finally, run the app using the command:

$ flask run

• Now that the app is running, fire up your browser and visit http://localhost:8000 to access the web application.