bug in readmes with docker compose

Author: davidADSP

README.md

@@ -77,7 +77,7 @@ docker compose build
 If you do have a GPU that you wish to use, run the following command:
 
 ```
-docker compose -f docker compose-gpu.yml build
+docker compose -f docker-compose-gpu.yml build
 ```
 
 ### Running the container
@@ -91,7 +91,7 @@ docker compose up
 If you do have a GPU that you wish to use, run the following command:
 
 ```
-docker compose -f docker compose-gpu.yml up
+docker compose -f docker-compose-gpu.yml up
 ```
 
 Jupyter will be available in your local browser, on the port specified in your env file - for example

docs/docker.md

@@ -134,16 +134,16 @@ Congratulations! You now have a functioning Docker container that you can use to
 
 ## ⚡️ Using a GPU
 
-The default `Dockerfile` and `docker compose.yaml` file assume that you do not want to use a local GPU to train your models. If you do have a GPU that you wish to use (for example, you are using a cloud VM), I have provided two extra files called `Dockerfile-gpu` and `docker compose-gpu.yaml` files that can be used in place of the default files.
+The default `Dockerfile` and `docker compose.yaml` file assume that you do not want to use a local GPU to train your models. If you do have a GPU that you wish to use (for example, you are using a cloud VM), I have provided two extra files called `Dockerfile-gpu` and `docker-compose-gpu.yaml` files that can be used in place of the default files.
 
 For example, to build an image that includes support for GPU, use the command shown below:
 
 ```
-docker compose -f docker compose-gpu.yml build
+docker compose -f docker-compose-gpu.yml build
 ```
 
 To run this image, use the following command:
 
 ```
-docker compose -f docker compose-gpu.yml up
+docker compose -f docker-compose-gpu.yml up
 ```

docs/googlecloud.md

@@ -83,7 +83,7 @@ Lastly, you'll need to make sure that Docker Compose is installed on the virtual
 
 ```
 sudo apt-get update
-sudo apt-get install docker compose-plugin
+sudo apt-get install docker-compose-plugin
 ```
 
 Now you can build the image and run the container, using the GPU-specific commands discussed in the main `README` of this codebase.