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commit f2b4ee12c4fd138d2585f114ac2294d78c47efae
Author: Otavio Rodolfo Piske <angusyo...@gmail.com>
AuthorDate: Thu Aug 1 17:02:03 2024 +0200

    CAMEL-21040: fix documentation in camel-djl
---
 components/camel-ai/camel-djl/src/main/docs/djl-component.adoc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc 
b/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc
index ad51deca03d..2f8979d07ec 100644
--- a/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc
+++ b/components/camel-ai/camel-djl/src/main/docs/djl-component.adoc
@@ -40,7 +40,7 @@ Where `application` represents the 
https://javadoc.io/doc/ai.djl/api/latest/ai/d
 
 === Supported applications
 
-Currently, the following applications are supported by the component.
+Currently, the component supports the following applications.
 
 [width="100%",cols="3,3,3",options="header"]
 |===
@@ -453,7 +453,7 @@ You can pull the PyTorch engine from the central Maven 
repository by including t
 </dependency>
 ----
 
-By default, DJL will download the PyTorch native libraries into 
https://docs.djl.ai/docs/development/cache_management.html[cache folder] the 
first time you run DJL.
+By default, DJL will download the PyTorch native libraries into the 
https://docs.djl.ai/docs/development/cache_management.html[cache folder] the 
first time you run DJL.
 It will automatically determine the appropriate jars for your system based on 
the platform and GPU support.
 
 More information about https://docs.djl.ai/engines/pytorch/index.html[PyTorch 
engine installation]

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