Merge pull request #2315 from ChamathKB/documentation-fixes

wasertech · web-flow · commit 2c81b0469a5c · 2022-12-10T00:24:57.000+01:00
updating docker tag to latest in playbook
diff --git a/doc/playbook/ENVIRONMENT.md b/doc/playbook/ENVIRONMENT.md
@@ -159,11 +159,11 @@ As you become more proficient with using 🐸STT, you can use the pre-built Dock
 **Running this command will download several gigabytes of data. Do not perform this command if you are on a limited or metered internet connection**
 
 ```
-$ docker pull ghcr.io/coqui-ai/stt-train:v0.10.0-alpha.4
-v0.10.0-alpha.4: Pulling from coqui-ai/stt-train
+$ docker pull ghcr.io/coqui-ai/stt-train:latest
+latest: Pulling from coqui-ai/stt-train
 Digest: sha256:0f8ee9208874a925618e527f1d06ea9065dd09c700972cba740884e7e7e4cd17
-Status: Image is up to date for ghcr.io/coqui-ai/stt-train:v0.10.0-alpha.4
-ghcr.io/coqui-ai/stt-train:v0.10.0-alpha.4
+Status: Image is up to date for ghcr.io/coqui-ai/stt-train:latest
+ghcr.io/coqui-ai/stt-train:latest
 ```
 
 <!-- FIXME uncomment once we have CI publishing of these images:
@@ -175,17 +175,17 @@ You will now see the `ghcr.io/coqui-ai/stt-train` image when you run the command
 ```
 $ docker image ls
 REPOSITORY                               TAG                  IMAGE ID       CREATED          SIZE
-ghcr.io/coqui-ai/stt-train               v0.10.0-alpha.4      d145cb0930ea   37 minutes ago   5.12GB
+ghcr.io/coqui-ai/stt-train               latest      e1ab9313051d   37 minutes ago   5.12GB
 ``` -->
 
 ### Testing the image by creating a container and running a script
 
 Now that you have your Docker image pulled down, you can create a _container_ from the image. Here, we're going to create a container and run a simple test to make sure that the image is working correctly.
 
-_Note that you can refer to Docker images by `id` - such as `7cdc0bb1fe2a` in the example above, or by the image's name and `tag`. Here, we will be using the image name and `tag` - ie `ghcr.io/coqui-ai/stt-train:v0.10.0-alpha.4`._
+_Note that you can refer to Docker images by `id` - such as `e1ab9313051d` in the example above, or by the image's name and `tag`. Here, we will be using the image name and `tag` - ie `ghcr.io/coqui-ai/stt-train:latest`._
 
 ```
-$ docker run  -it --name stt-test --entrypoint /bin/bash ghcr.io/coqui-ai/stt-train:v0.10.0-alpha.4
+$ docker run  -it --name stt-test --entrypoint /bin/bash ghcr.io/coqui-ai/stt-train:latest
 ```
 
 The `entrypoint` instruction following `docker run` tells Docker to run the `/bin/bash` (ie shell) after creating the container.
@@ -282,7 +282,7 @@ As you become more comfortable training speech recognition models with 🐸STT,
 # Custom Dockerfile for training models using 🐸STT
 
 # Get the latest 🐸STT image
-FROM ghcr.io/coqui-ai/stt-train:v0.10.0-alpha.4
+FROM ghcr.io/coqui-ai/stt-train:latest
 
 # Install nano editor
 RUN apt-get -y update && apt-get install -y nano
