Sample App: ML service - Sentiment Analysis

[Leo6Leo]

Problem

Create a container image that contains a python application that connected to a simple sentiment analysis model. When container start running, the application should have the URL endpoint to pass in the input, and the output from the model should be returned as JSON.

The model will take the text comment as input, and tell whether the text is:

• Positive
• Neutral
• Negative

You can find more detail in the design doc here.

Persona:

Which persona is this feature for?
Administrators and developers

Exit Criteria

• A container image that contains a python application that connected to a simple sentiment analysis model
• A detailed documentation that explains it and include the setup guide

Time Estimate (optional):
How many developer-days do you think this may take to resolve?
1-2

Additional context (optional)