Minor fixes

Author: niedev

app/build.gradle

@@ -129,8 +129,6 @@ dependencies {
     implementation "ai.djl.android:core:0.33.0"
     implementation "ai.djl.huggingface:tokenizers:0.33.0"
     implementation "ai.djl.android:tokenizer-native:0.33.0"
-    // DJL fasttext wrapper
-    implementation 'ai.djl.fasttext:fasttext-engine:0.33.0'
     //protobuf
     implementation "com.google.protobuf:protobuf-javalite:4.33.5"
     // bouncycastle crypto lib
@@ -146,8 +144,6 @@ dependencies {
     //ONNX Runtime
     implementation 'com.microsoft.onnxruntime:onnxruntime-android:1.23.2'  //latest.release
     implementation 'com.microsoft.onnxruntime:onnxruntime-extensions-android:0.13.0'   //latest.release
-    //Ml-Kit
-    //implementation 'com.google.mlkit:language-id:17.0.5'
     //JWS parser
     implementation group: 'com.nimbusds', name: 'nimbus-jose-jwt', version: '5.1'
     implementation files('libs/sqlite4java-android-release.aar')

app/src/main/java/nie/translator/rtranslator/voice_translation/neural_networks/translation/LanguageDetector.java

@@ -7,15 +7,8 @@
 
 import java.io.File;
 import java.io.IOException;
-import java.nio.file.Paths;
 
 import ai.djl.ModelException;
-import ai.djl.inference.Predictor;
-import ai.djl.modality.Classifications;
-import ai.djl.repository.zoo.Criteria;
-import ai.djl.repository.zoo.ZooModel;
-import ai.djl.translate.TranslateException;
-import nie.translator.rtranslator.voice_translation.neural_networks.NeuralNetworkApiResult;
 
 public class LanguageDetector {
     // Load the C++ library
@@ -27,9 +20,6 @@ public class LanguageDetector {
     private static final String TAG = "LanguageDetector";
     private static final String MODEL_FILE_NAME = "fasttext.ftz";
 
-    private ZooModel<String, Classifications> model;
-    private Predictor<String, Classifications> predictor;
-
     private long nativePtr = 0;
     private Context context;
 
@@ -57,7 +47,7 @@ public void run() {
                         Log.e(TAG, "Model not initialized.");
                         listener.onSuccess("und");
                     }
-                    listener.onSuccess(predictLanguage(nativePtr, text));
+                    listener.onSuccess(predictLanguage(nativePtr, text, confidenceThreshold));
 
                 } catch (Exception e) {
                     e.printStackTrace();