Create a virtual environment for our `API`

We have already discussed how to create a virtual environment using Anaconda as well as the venv Python package. Before starting this project, it is advisable to create a virtual environment and activate it.

In this project, we will not use any async functionality for the sake of understanding the normal API building. Although, if you want, you can go ahead with the async functionality that we have already discussed.

Create the `call_text_analytics_api` function

We will first create a function call_text_analytics_api() that will accept three parameters:

Header data: This contains our key for the text analytics

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Overview of the Course

Building Blocks of an API in Python

Learn the Basics of FastAPI

Optical Character Recognition API Using Tesseract - Project 1

Cloud and Microsoft Azure Services

Text Analytics API Using Azure Cognitive Services - Project 2

Deploy the REST API on Microsoft Azure

Pop Quiz

Appendix

Implement the Azure Text Analytics Service - 1

Create a virtual environment for our `API`

Create the `call_text_analytics_api` function

Pop Quiz

Implement the Azure Text Analytics Service - 1

Create a virtual environment for our API

Create the call_text_analytics_api function

Create a virtual environment for our `API`

Create the `call_text_analytics_api` function