build: upgrade gradle, dependencies and java

Upgraded Gradle to version 8.9
updated dependencies
upgraded Java from version 11 to 17

.gitignore

@@ -43,4 +43,7 @@ bin/
 .vscode/
 
 ### Mac OS ###
-.DS_Store
+.DS_Store
+
+# python
+venv

README.md

@@ -1,52 +1,51 @@
-# Run HuggingFace NER (NLP) Model on Java using ONNX Runtime and DJL    
-A NLP (Natural Language Processing) Java Application which detects `Names`, `organizaions`, and `locations` in a text by running Hugging face's [Roberta NER model](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) using [ONNX runtime](https://onnxruntime.ai/docs/get-started/with-java.html) and [Deep Java Library](https://djl.ai/)
+# Run HuggingFace NER (NLP) Model on Java using ONNX Runtime and DJL
 
+A Natural Language Processing (NLP) Java application that detects `names`, `organizations`, and `locations` in a text by running Hugging Face's [Roberta NER model](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) using [ONNX Runtime](https://onnxruntime.ai/docs/get-started/with-java.html) and the [Deep Java Library](https://djl.ai/).
 
+## Installation
 
+Open the project folder in a Java IDE (recommended: IntelliJ IDEA Community) with Gradle support and build the project.
 
-## Installation:
-Open Project folder in Java IDE (`Recommended: IntelliJ IDEA Community`) with gradle support and Build the project
+### Requirements
 
+1. Java Development Kit (JDK) version 17
+2. Gradle version 8.9
 
-### Requirements:
-1. Java Development Kit JDK version: 11
-2. Gradle version 7+
+### Download Files
 
-### Download files
+These files are required to run the project:
 
-These files are required to run the project  
-
-1. ONNX model 
+1. ONNX model
 2. `tokenizer.json` file
 
-### Convert the ONNX model  
+### Convert the ONNX Model
 
-To convert HuggingFace NER model to ONNX Open this [Google Colaboratory Notebook](https://colab.research.google.com/drive/1kZx9XOnExVfPoAGHhHRUrdQnioiLloBW#revisionId=0BwKss6yztf4KS0NKaWRiQjc0RGRvQkd6ZFp3OUFhR1lTclBNPQ) run the code as image shown below and follow all the steps  
+To convert the Hugging Face NER model to ONNX, open this [Google Colaboratory Notebook](https://colab.research.google.com/drive/1kZx9XOnExVfPoAGHhHRUrdQnioiLloBW#revisionId=0BwKss6yztf4KS0NKaWRiQjc0RGRvQkd6ZFp3OUFhR1lTclBNPQ), run the code as shown in the image below, and follow all the steps.
 
-![run colab code cell](images/run-colab.jpeg)  
+![run colab code cell](images/run-colab.jpeg)
 
+(The code for this purpose is also saved in the Jupyter notebook file `convert Huggingface model to ONNX.ipynb`. You can run the code using [Jupyter Notebook](https://jupyter.org/install).)
 
+After running one of the above codes, your ONNX model will be saved in the `onnx/` folder.
 
-(the code for above purpose is also saved in jupyter notebook in the file `convert Huggingface model to ONNX.ipynb`. you can run the code using [Jupyter notebook](https://jupyter.org/install))  
+### Download tokenizer.json
 
-after running the one of above codes your onnx model will be saved in `onnx/` folder.
+The tokenizer file `tokenizer.json` was taken from this [Hugging Face repository](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english). Download the `tokenizer.json` from this [link](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/raw/main/tokenizer.json).
 
-### Download tokenizer.json  
-Tokenzer file `tokenizer.json` was taken from this [huggingface repo](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english)  
-Download the `tokenizer.json` from the [link](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/raw/main/tokenizer.json) 
+**Move Files**
 
-**move files**  
-Copy files created from above two stesp into `raw-files` directory as shown in the below image  
+Copy the files created from the above steps into the `raw-files` directory as shown in the image below.
 
 ![raw-files path](images/model-location.png)
 
+## Building the Project
 
-## Building project
-Build the project using This button
+Build the project using the button shown below.
 
 ![how to build project](images/building-project.jpg)
 
 ## Run the Code
 
-Open the `Main.java` file and click the play button as shown in the red box in the below image  
-![how to run project](images/run-code.jpg)
+Open the `Main.java` file and click the play button as shown in the red box in the image below.
+
+![how to run project](images/run-code.jpg)

build.gradle

@@ -1,5 +1,10 @@
 plugins {
     id 'java'
+    id 'application'
+}
+
+application {
+    mainClass.set('dev.ahwar.Main')
 }
 
 group 'dev.ahwar'
@@ -11,8 +16,8 @@ repositories {
 
 dependencies {
     implementation 'com.microsoft.onnxruntime:onnxruntime:1.13.1'
-    implementation "ai.djl.huggingface:tokenizers:0.19.0"
-    implementation 'org.slf4j:slf4j-api:2.0.3'
+    implementation "ai.djl.huggingface:tokenizers:0.29.0"
+    implementation 'org.slf4j:slf4j-api:2.0.13'
 }
 
 test {

gradle/wrapper/gradle-wrapper.properties

@@ -1,5 +1,5 @@
 distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-7.4-bin.zip
+distributionUrl=https\://services.gradle.org/distributions/gradle-8.9-bin.zip
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists