MAIZE-API: Simulation API setup

The python API is available at https://github.com/axelmukwena/maize-api

NB: Simulations only work with data created using the BMD101 Sensor

API setup was developed in Python 3 and hosted under the directory root_folder/maize-api. The API is developed using the Flask Framework to receive HTTPS requests. The simulation utilizes the CNN model completes all the requirements for MA.

After installation of all required packages and modules, obtain and copy the 'contents' of the CNN model titled maize saved in maize-disease-identification/models/ and paste into maize-api/model/.

File structure should resemble or similar:

maize-api
- model
  - assets
  - variables
  - keras_metadata.pb
  - saved_model.pb
- app
- README.md
- ...

After setup, run

$ python3 app.py

which should start up the development server at the following url http://127.0.0.1:5000/

Installing or updating packages

Just make sure env exists, otherwise create another one

Go to folder
```
$ cd folder/folder/maize-api
```

Activate env

# Mac OS
$ source venv/bin/activate

# Windows
$ venv\Scripts\activate

Install or update package

# specific command
# MacOS
$ pip install --upgrade package

Update requirements.txt
```
$ pip freeze > requirements.txt
```

Deactivate env

Deactivate env
```
# Mac OS
$ deactivate

# Windows
$ 
```