void setup() {
  // put your setup code here, to run once:
  Serial.begin(115200);
  Serial.println("Hello, ESP32!");
}

void loop() {
  // put your main code here, to run repeatedly:
  delay(10); // this speeds up the simulation
}



// dependencies {
//     implementation 'org.tensorflow:tensorflow-lite:2.5.0'
//     implementation 'org.tensorflow:tensorflow-lite-support:0.2.0'
// }






























// package com.example.teachablemachineapp;

// import android.graphics.Bitmap;
// import android.os.Bundle;
// import android.util.Log;
// import android.view.View;
// import android.widget.Button;
// import android.widget.ImageView;

// import androidx.appcompat.app.AppCompatActivity;

// import org.tensorflow.lite.Interpreter;
// import org.tensorflow.lite.support.image.TensorImage;
// import org.tensorflow.lite.support.label.TensorLabel;

// import java.io.BufferedReader;
// import java.io.FileInputStream;
// import java.io.FileNotFoundException;
// import java.io.IOException;
// import java.io.InputStreamReader;
// import java.nio.ByteBuffer;
// import java.nio.ByteOrder;
// import java.nio.channels.FileChannel;
// import java.util.ArrayList;
// import java.util.List;

// public class MainActivity extends AppCompatActivity {
//     private static final String MODEL_PATH = "model.tflite";
//     private static final String LABELS_PATH = "labels.txt";
//     private static final int INPUT_SIZE = 224;

//     private Interpreter interpreter;
//     private List<String> labels;

//     @Override
//     protected void onCreate(Bundle savedInstanceState) {
//         super.onCreate(savedInstanceState);
//         setContentView(R.layout.activity_main);

//         ImageView imageView = findViewById(R.id.imageView);
//         Button classifyButton = findViewById(R.id.classifyButton);

//         try {
//             interpreter = new Interpreter(loadModelFile(MODEL_PATH));
//             labels = loadLabelFile(LABELS_PATH);
//         } catch (IOException e) {
//             e.printStackTrace();
//         }

//         classifyButton.setOnClickListener(new View.OnClickListener() {
//             @Override
//             public void onClick(View v) {
//                 // Get the image from ImageView
//                 imageView.setDrawingCacheEnabled(true);
//                 Bitmap bitmap = Bitmap.createBitmap(imageView.getDrawingCache());
//                 imageView.setDrawingCacheEnabled(false);

//                 // Call the classifyImage method
//                 classifyImage(bitmap);
//             }
//         });
//     }

//     private ByteBuffer loadModelFile(String filePath) throws IOException {
//         try (FileInputStream fileInputStream = new FileInputStream(getAssets().openFd(filePath).getFileDescriptor());
//              FileChannel fileChannel = fileInputStream.getChannel()) {
//             long startOffset = getAssets().openFd(filePath).getStartOffset();
//             long declaredLength = getAssets().openFd(filePath).getDeclaredLength();
//             return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength).order(ByteOrder.nativeOrder());
//         }
//     }

//     private List<String> loadLabelFile(String filePath) throws IOException {
//         List<String> labels = new ArrayList<>();
//         BufferedReader reader = new BufferedReader(new InputStreamReader(getAssets().open(filePath)));
//         String line;
//         while ((line = reader.readLine()) != null) {
//             labels.add(line);
//         }
//         return labels;
//     }

//     private TensorImage convertBitmapToTensorImage(Bitmap bitmap) {
//         Bitmap resizedBitmap = Bitmap.createScaledBitmap(bitmap, INPUT_SIZE, INPUT_SIZE, false);
//         ByteBuffer byteBuffer = ByteBuffer.allocateDirect(INPUT_SIZE * INPUT_SIZE * 3 * 4);
//         byteBuffer.order(ByteOrder.nativeOrder());
//         resizedBitmap.copyPixelsToBuffer(byteBuffer);
//         TensorImage tensorImage = new TensorImage();
//         tensorImage.load(byteBuffer);
//         return tensorImage;
//     }

//     private void classifyImage(Bitmap bitmap) {
//         TensorImage tensorImage = convertBitmapToTensorImage(bitmap);
//         TensorImage inputImageBuffer = TensorImage.fromBitmap(bitmap);

//         float[][] output = new float[1][labels.size()];
//         interpreter.run(inputImageBuffer.getBuffer(), output);

//         for (int i = 0; i < labels.size(); i++) {
//             Log.d("Classification", labels.get(i) + ": " + output[0][i]);
//         }
//     }
// }





// <?xml version="1.0" encoding="utf-8"?>
// <RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
//     xmlns:tools="http://schemas.android.com/tools"
//     android:layout_width="match_parent"
//     android:layout_height="match_parent"
//     tools:context=".MainActivity">

//     <ImageView
//         android:id="@+id/imageView"
//         android:layout_width="wrap_content"
//         android:layout_height="wrap_content"
//         android:layout_centerInParent="true"
//         android:contentDescription="@string/image_desc"
//         android:src="@drawable/ic_launcher_foreground" />

//     <Button
//         android:id="@+id/classifyButton"
//         android:layout_width="wrap_content"
//         android:layout_height="wrap_content"
//         android:layout_below="@id/imageView"
//         android:layout_centerHorizontal="true"
//         android:layout_marginTop="16dp"
//         android:text="@string/classify_button_text" />

// </RelativeLayout>