Add instructions for running tests.

Author: UPstartDeveloper

README.md

@@ -11,9 +11,6 @@ We built this API to show how the technology can fight this and other crises, an
 ### Use the API
 To classify your own images, you can use the live API: use the link [here](https://fire-detection-api.herokuapp.com/docs) to read the documentation and send requests.
 
-### Run the Tests
-TBD
-
 ### Running Locally
 
 #### Using Docker
@@ -35,6 +32,12 @@ And then run the app using `uvicorn` in the Command Line:
 (env) $ uvicorn app.main:app --reload  
 ```
 
+### Run the Tests
+To run the tests, you will first need to set up a Python virtual environment to run this project locally (see above). Then you can run the automated tests from the root directory, using the command line:
+```
+(env) $ pytest
+```
+
 ## The Data and the Model
 The image dataset and model used for the production API will be documented on the [Releases](https://github.com/UPstartDeveloper/Fire-Detection-API/releases) page of this repository.