Update wiki Home page for djl-image-to-text-action

Home.md

@@ -1,21 +1,24 @@
-# Deploy the Project on CamelX Platform
+# Image-to-Text Action
 
-Deploy on CamelX Platform in three steps
+Detect and classify objects in an image into texts using the SSD and ResNet models and the ImageNet dataset.
 
-## Step 1: Create a release
+## Metadata
-From the project space, click on **"Create a release"**
 
-The new version is automatically available in the list
+| Property | Value |
+|----------|-------|
+| Type | action |
+| Group | Actions |
+| Namespace | AI |
+| Support Level | Preview |
+| Provider | Apache Software Foundation |
 
-## Step 2: Deploy
+## Dependencies
-Click on **"Deploy"**
 
-- **Version:** Select the desired release
+- `mvn:ai.djl.pytorch:pytorch-engine:0.29.0`
-- **Environment:** Choose `Development`, `Staging`, or `Production` 
+- `mvn:ai.djl.pytorch:pytorch-model-zoo:0.29.0`
-- **Configuration:** Select the configuration source
+- `mvn:net.sf.extjwnl:extjwnl:2.0.5`
-- **Resources:** Set CPU and Memory
+- `mvn:net.sf.extjwnl:extjwnl-data-wn31:1.2`
-
+- `camel:core`
-## Step 3: Expose
+- `camel:kamelet`
-Enable **"Expose"**
+- `camel:jackson`
-
+- `camel:djl`
-Choose an **API Gateway** (Internal, Public, etc.)