Call all SageMaker APIs and construct the response for the React client

[toddysm]

Here is the flow:

• Call the ML to split the feedback in sentences
• For each sentence call the question/no-question ML model and capture the result for the sentence
• For each sentence call the sentiment analysis ML model and capture the result for the sentence
• Call the classification ML model to determine the quality of the feedback

Generate JSON and save it as a file locally.

User Story

As a developer I want to call the appropriate SageMaker APIs for the ML models. I then want to structure and pass the appropriate data for analysis and save this and the response locally as JSON.