Update README.md

README.md

@@ -11,9 +11,30 @@ Face API with Docker, Tensorflow and PyTorch.
 * Docker with Nvidia Support [Nvidia-Docker](https://github.com/NVIDIA/nvidia-docker)  
 * CUDA 9 [Guide](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html)
 
+
+### How to use:
+In order to start the API the user must run the docker containers using the `docker-compose` command. 
+
+To build the docker images use:
+```bash
+docker-compose -f dockers/docker-compose.yml build
+```
+
+To run the docker containers use:
+```bash
+docker-compose -f dockers/docker-compose.yml up
+```
+
+The user can access the API using the following URL:
+```
+http://localhost:7000/predict/
+```
+
+Each model is hosted in a different port e.g. `7001`, `7002`, `7003`.
+
 ### Test:
 Change the `host` variable inside the `test_api.py` script with the IP in which the dockers are running and then run the following:
-```
+```bash
 python test_api.py
 ```
 
@@ -23,7 +44,7 @@ This demo calls the API to make predictions using the webcam.
 Make sure the docker containers are running and change the `host` variable with the desired IP. 
 
 Run the demo using:
-```
+```bash
 python demo.py
 ```