update example to run end to end

src/main/java/io/bioimage/modelrunner/example/ExampleLoadAndRunModel.java

@@ -19,12 +19,18 @@
  */
 package io.bioimage.modelrunner.example;
 
+import io.bioimage.modelrunner.bioimageio.BioimageioRepo;
 import io.bioimage.modelrunner.engine.EngineInfo;
+import io.bioimage.modelrunner.engine.installation.EngineInstall;
 import io.bioimage.modelrunner.exceptions.LoadEngineException;
 import io.bioimage.modelrunner.model.Model;
 import io.bioimage.modelrunner.tensor.Tensor;
+import io.bioimage.modelrunner.versionmanagement.AvailableEngines;
+import io.bioimage.modelrunner.versionmanagement.DeepLearningVersion;
+import io.bioimage.modelrunner.versionmanagement.InstalledEngines;
 
 import java.io.File;
+import java.io.IOException;
 import java.util.ArrayList;
 import java.util.List;
 
@@ -62,26 +68,33 @@ public class ExampleLoadAndRunModel {
 	 * @throws Exception
 	 */
 	public static < T extends RealType< T > & NativeType< T > > void main(String[] args) throws LoadEngineException, Exception {
+
 		// Tag for the DL framework (engine) that wants to be used
-		String engine = "torchscript";
+		String framework = "torchscript";
 		// Version of the engine
 		String engineVersion = "1.13.1";
 		// Directory where all the engines are stored
 		String enginesDir = ENGINES_DIR;
-		// Path to the model folder
-		String modelFolder = new File(MODELS_DIR, "EnhancerMitochondriaEM2D_13012023_130426").getAbsolutePath();
+		downloadTorchscriptEngine(framework, engineVersion, enginesDir);
+
+		String bmzModelName = "EnhancerMitochondriaEM2D";
+		String modelFolder = downloadBMZModel(bmzModelName, MODELS_DIR);
+
 		// Path to the model source. The model source locally is the path to the source file defined in the 
 		// yaml inside the model folder
 		String modelSource = new File(modelFolder, "weights-torchscript.pt").getAbsolutePath();
 		// Whether the engine is supported by CPu or not
 		boolean cpu = true;
+		List<DeepLearningVersion> installedList = 
+				InstalledEngines.checkEngineWithArgsInstalledForOS(framework, engineVersion, 
+						cpu, null, enginesDir);
 		// Whether the engine is supported by GPU or not
-		boolean gpu = true;
+		boolean gpu = installedList.get(0).getGPU();
 		// Create the EngineInfo object. It is needed to load the wanted DL framework
 		// among all the installed ones. The EngineInfo loads the corresponding engine by looking
 		// at the enginesDir at searching for the folder that is named satisfying the characteristics specified.
 		// REGARD THAT the engine folders need to follow a naming convention
-		EngineInfo engineInfo = createEngineInfo(engine, engineVersion, enginesDir, cpu, gpu);
+		EngineInfo engineInfo = createEngineInfo(framework, engineVersion, enginesDir, cpu, gpu);
 		// Load the corresponding model
 		Model model = loadModel(modelFolder, modelSource, engineInfo);
 		// Create an image that will be the backend of the Input Tensor
@@ -119,6 +132,24 @@ public static < T extends RealType< T > & NativeType< T > > void main(String[] a
 		System.out.print("Success!!");
 	}
 
+	public static void downloadTorchscriptEngine(String framework, String engineVersion,
+			String enginesDir) throws IOException, InterruptedException {
+		List<DeepLearningVersion> possibleEngines = 
+				AvailableEngines.getEnginesForOsByParams(framework, engineVersion, true, null);
+		boolean success = EngineInstall.installEngineInDir(possibleEngines.get(0), enginesDir);
+
+		if (!success)
+			throw new IOException("The wanted DL engine was not downloaed correctly: "
+								+ possibleEngines.get(0).folderName());
+	}
+
+
+	public static String downloadBMZModel(String bmzModelName, String modelsDir) throws IOException, InterruptedException {
+		// Create an instance of the BioimageRepo object
+		BioimageioRepo br = BioimageioRepo.connect();
+		return br.downloadByName(bmzModelName, modelsDir);
+	}
+
 	/**
 	 * Method that creates the {@link EngineInfo} object.
 	 * @param engine