(camel) 05/10: CAMEL-20410: documentation fixes for camel-djl

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orpiske pushed a commit to branch main
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commit 4a997b40cfbd634621668e6f185f401098787ac5
Author: Otavio Rodolfo Piske <an...@gmail.com>
AuthorDate: Mon Feb 19 13:07:02 2024 +0100

    CAMEL-20410: documentation fixes for camel-djl
    
    - Fixed samples
    - Fixed grammar and typos
    - Fixed punctuation
    - Added and/or fixed links
---
 components/camel-djl/src/main/docs/djl-component.adoc | 13 +++++--------
 1 file changed, 5 insertions(+), 8 deletions(-)

diff --git a/components/camel-djl/src/main/docs/djl-component.adoc b/components/camel-djl/src/main/docs/djl-component.adoc
index 380780bee66..d00fbbaaaac 100644
--- a/components/camel-djl/src/main/docs/djl-component.adoc
+++ b/components/camel-djl/src/main/docs/djl-component.adoc
@@ -14,13 +14,10 @@
 
 *{component-header}*
 
-The *Deep Java Library* component is used to infer Deep Learning models from message exchanges data.
-This component uses https://djl.ai/[Deep Java Library] as underlying library.
+The *Deep Java Library* component is used to infer deep learning models from message exchanges data.
+This component uses the https://djl.ai/[Deep Java Library] as the underlying library.
 
-In order to use the DJL component, Maven users will need to add the
-following dependency to their `pom.xml`:
-
-*pom.xml*
+To use the DJL component, Maven users will need to add the following dependency to their `pom.xml`:
 
 [source,xml]
 ----
@@ -80,7 +77,7 @@ The following table contains supported models in the model zoo:
 
 == DJL Engine implementation
 
-Because DJL is deep learning framework agnostic, you don't have to make a choice between frameworks when creating your projects.
+Because DJL is deep learning framework-agnostic, you don't have to make a choice between frameworks when creating your projects.
 You can switch frameworks at any point.
 To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration.
 
@@ -193,7 +190,7 @@ from("file:/data/mnist/0/10.png")
 === Custom deep learning model
 [source,java]
 ----
-// create deep learning model
+// create a deep learning model
 Model model = Model.newInstance();
 model.setBlock(new Mlp(28 * 28, 10, new int[]{128, 64}));
 model.load(Paths.get(MODEL_DIR), MODEL_NAME);