veiro / ia_flask

Developing AI Applications with Python and Flask

IA_Flask

About this Course

This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. In this hands-on project you will assume the role of a developer and perform tasks including:

• Develop functions and application logic
• Exchange data using Watson AI libraries
• Write unit tests, and
• Package the application for distribution.

You will demonstrate your foundational Python skills by employing different techniques to develop web applications and AI powered solutions. After completing this course, you will have added another project to your portfolio and gained the confidence to begin developing AI enabled applications using Python and Flask, Watson AI libraries, build and run unit tests, and package the application for distribution out in the real world.

tasks

Task1: Clone the project repository (1 point)

Repository folder structure

Task 2: Create an emotion detection application using Watson NLP library (2 points)

Write code for the application function

Import the application without errors

Task 3: Format the output of the application (2 points)

Modify the emotion_predictor function accurately for it to return the provided output format

Check that the output format is accurate

Task 4: Package the application (2 points)

Create the folder structure for packaging the application and create the init.py file

Verify that the output is as expected

Task 5: Run Unit tests on your application (2 points)

Create the required unit tests

Run user tests until all pass

Task 6: Web deployment of the application using Flask (2 points)

Update server.py with the right contents

Deploy the application

Task 7: Incorporate Error handling (3 points)

Update the emotion_detector function for status code, 400

Update the server.py file to manage blank input errors

Validate error handling functionality

Task 8: Run static code analysis (2 points)

Update the server.py to highlight the code that gets 10/10

Get a perfect score for static code analysis