Tested and fixed code for examples

eclipse/predictive-powers/pom.xml

@@ -4,7 +4,7 @@
 	<modelVersion>4.0.0</modelVersion>
 	<groupId>io.github.mzattera</groupId>
 	<artifactId>predictive-powers</artifactId>
-	<version>0.5.0</version>
+	<version>0.6.0.preview</version>
 	<name>PredictivePowers</name>
 	<description>A Java library to (easily) create GenAI-powered autonomous
 		agents</description>

eclipse/predictive-powers/src/main/java/io/github/mzattera/predictivepowers/examples/ChatExample.java

@@ -20,8 +20,6 @@
 
 import io.github.mzattera.predictivepowers.AiEndpoint;
 import io.github.mzattera.predictivepowers.anthropic.client.AnthropicEndpoint;
-import io.github.mzattera.predictivepowers.huggingface.client.HuggingFaceEndpoint;
-import io.github.mzattera.predictivepowers.huggingface.services.HuggingFaceChatService;
 import io.github.mzattera.predictivepowers.services.ChatService;
 
 public class ChatExample {
@@ -38,12 +36,13 @@ public static void main(String[] args) throws Exception {
 				// ChatService agent = endpoint.getChatService("<YourDeployModelName>");
 
 				// Uncomment the below to use Anthropic API
-				// AiEndpoint endpoint = new AnthropicEndpoint();
-				// ChatService agent = endpoint.getChatService();
-
-				AiEndpoint endpoint = new HuggingFaceEndpoint();
+				AiEndpoint endpoint = new AnthropicEndpoint();
 				ChatService agent = endpoint.getChatService();
 
+				// Uncomment the below to use Hugging Face API
+				// AiEndpoint endpoint = new HuggingFaceEndpoint();
+				// ChatService agent = endpoint.getChatService();
+
 			) {
 
 			// Give instructions to agent

eclipse/predictive-powers/src/main/java/io/github/mzattera/predictivepowers/examples/ImageGenerationExample.java

@@ -22,7 +22,6 @@
 
 import io.github.mzattera.predictivepowers.AiEndpoint;
 import io.github.mzattera.predictivepowers.huggingface.client.HuggingFaceEndpoint;
-import io.github.mzattera.predictivepowers.openai.client.DirectOpenAiEndpoint;
 import io.github.mzattera.predictivepowers.services.ImageGenerationService;
 import io.github.mzattera.util.ImageUtil;
 
@@ -35,24 +34,21 @@ public class ImageGenerationExample {
 
 	public static void main(String[] args) throws Exception {
 
-		// DALL-E image generation
-		try (AiEndpoint endpoint = new DirectOpenAiEndpoint();
-				ImageGenerationService svc = endpoint.getImageGenerationService();) {
+		try (
+				// Uncomment this to use DALL-E
+				// AiEndpoint endpoint = new DirectOpenAiEndpoint();
+				// ImageGenerationService svc = endpoint.getImageGenerationService();
 
+				// Uncomment this to use Openjourney
+				AiEndpoint endpoint = new HuggingFaceEndpoint();
+				ImageGenerationService svc = endpoint.getImageGenerationService();
+		) {
 			// Generates image
 			BufferedImage img = svc.createImage(PROMPT, 1, 1024, 1024).get(0);
 
 			// Saves it in a temporary file
 			save(img);
 		}
-
-		// Openjourney (notice is same code as above)
-		try (AiEndpoint endpoint = new HuggingFaceEndpoint();
-				ImageGenerationService svc = endpoint.getImageGenerationService();) {
-			BufferedImage img = svc.createImage(PROMPT, 1, 1024, 1024).get(0);
-			save(img);
-		}
-
 	}
 
 	private static void save(BufferedImage img) throws IOException {

eclipse/predictive-powers/src/main/java/io/github/mzattera/predictivepowers/examples/OracleExample.java

@@ -33,16 +33,10 @@ public class OracleExample {
 
 	public static void main(String[] args) throws Exception {
 
-		// Uncomment the below to use OpenAI services for the oracle
-		AiEndpoint endpoint = new DirectOpenAiEndpoint();
-
-		// Uncomment the below to use Hugging Face services for the oracle
-		// Endpoint endpoint = new HuggingFaceEndpoint();
-
-		// Question answering service
-		try (endpoint;
+		try (AiEndpoint endpoint = new DirectOpenAiEndpoint();
 				QuestionAnsweringService answerSvc = endpoint.getQuestionAnsweringService();
-				KnowledgeBase knowledgeBase = new KnowledgeBase();) {
+				KnowledgeBase knowledgeBase = new KnowledgeBase();
+		) {
 
 			try (Scanner console = new Scanner(System.in)) {
 

eclipse/predictive-powers/src/main/java/io/github/mzattera/predictivepowers/examples/VisionApiExample.java

@@ -26,22 +26,24 @@ public class VisionApiExample {
 
 	public static void main(String[] args) throws Exception {
 
-		// Create agent using GPT vision model
-//		try (OpenAiEndpoint endpoint = new DirectOpenAiEndpoint()) {
-//			Agent bot = endpoint.getChatService("gpt-4-vision-preview");
-
-		// Create agent using Anthropic
-			try (AiEndpoint endpoint = new AnthropicEndpoint()) {
+		try (
+				// Uncomment the below code to use OpenAI
+				// OpenAiEndpoint endpoint = new DirectOpenAiEndpoint();
+				// Agent bot = endpoint.getChatService("gpt-4-vision-preview");
+
+				// Uncomment the below code to use ANTHROP\C API
+				AiEndpoint endpoint = new AnthropicEndpoint();
 				ChatService bot = endpoint.getChatService();
+		) {
 
 			// Build the message to send
 			ChatMessage msg = new ChatMessage("Is there any grass in this image?");
 
-			// Include the image to inspect from an URL in the message
+			// Include Provide an URL to the the image to inspect
 			msg.getParts().add(FilePart.fromUrl(
 					"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"));
 
-			// The below shows as you can do the same with a local file image
+			// The below code shows as you can do the same with a local file image
 //			 msg.getParts().add(
 //			 		new FilePart(new File("YourFileName.jpg"), ContentType.IMAGE)
 //			 );

eclipse/predictive-powers/src/main/java/io/github/mzattera/predictivepowers/huggingface/client/HuggingFaceClient.java

@@ -43,10 +43,7 @@
 import okhttp3.Interceptor;
 import okhttp3.OkHttpClient;
 import okhttp3.OkHttpClient.Builder;
-import okhttp3.Request;
 import okhttp3.Response;
-import okio.Buffer;
-import okio.BufferedSource;
 import retrofit2.HttpException;
 import retrofit2.Retrofit;
 import retrofit2.adapter.rxjava2.RxJava2CallAdapterFactory;

eclipse/predictive-powers/src/main/java/io/github/mzattera/predictivepowers/huggingface/services/HuggingFaceChatService.java

@@ -41,7 +41,7 @@
  */
 public class HuggingFaceChatService extends AbstractChatService {
 
-	public static final String DEFAULT_MODEL = "microsoft/DialoGPT-medium";
+	public static final String DEFAULT_MODEL = "mistralai/Mistral-7B-Instruct-v0.1";
 
 	public HuggingFaceChatService(HuggingFaceEndpoint ep) {
 		this(ep, ConversationalRequest.builder().options(Options.builder().waitForModel(true).build()).build());

eclipse/predictive-powers/src/main/java/io/github/mzattera/predictivepowers/services/messages/Base64FilePart.java

@@ -130,7 +130,7 @@ public static Base64FilePart forAnthropic(FilePart file) throws IOException {
 		int h = img.getHeight();
 
 		double scale1 = 1568d / Math.max(w, h); // Longest edge must be < 1568
-		double scale2 = Math.sqrt(1_150_000/(w * h)); // Image < 1.15 Mpixel, or ~1600 tokens
+		double scale2 = Math.sqrt(1_150_000d /(w * h)); // Image < 1.15 Mpixel, or ~1600 tokens
 		double scale = Math.min(scale1, scale2);
 
 		if (scale < 1.0d) {