diff --git a/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/FrontEndController.java b/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/FrontEndController.java
index 69bda9f..2649549 100644
--- a/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/FrontEndController.java
+++ b/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/FrontEndController.java
@@ -8,6 +8,7 @@ import org.texttechnologylab.project.gruppe_05_1.database.MongoPprUtils;
 import org.texttechnologylab.project.gruppe_05_1.domain.html.HtmlSpeech;
 import org.texttechnologylab.project.gruppe_05_1.domain.html.Parlamentarier;
 import org.texttechnologylab.project.gruppe_05_1.domain.html.ParlamentarierDetails;
+import org.texttechnologylab.project.gruppe_05_1.domain.nlp.Sentiment;
 import org.texttechnologylab.project.gruppe_05_1.domain.nlp.Token;
 import org.texttechnologylab.project.gruppe_05_1.domain.nlp.Topic;
 import org.texttechnologylab.project.gruppe_05_1.domain.speech.SpeechMetaData;
@@ -151,6 +152,7 @@ public class FrontEndController {
                     @OpenApiResponse(status = "200", content = {@OpenApiContent(from = Speech.class)})
             })
     public static void showSpeech(Context ctx) {
+        String parlamentarierId = ctx.pathParam("id");
         String redeId = ctx.pathParam("redeId");
 
         Map<String, Object> attributes = new HashMap<>();
@@ -158,6 +160,10 @@ public class FrontEndController {
         HtmlSpeech speech = MongoPprUtils.getSpeechByKey(redeId);
         attributes.put("s", speech);
 
+        // Foto des Abgeordnetes
+        String picture = MongoPprUtils.getParlamentarierPictureByID(parlamentarierId);
+        attributes.put("picture", picture);
+
         // NLP: Topic
         if ((speech.getNlp() != null) && (speech.getNlp().getTopics() != null)) {
             Map<String, Double> topics = Topic.condenseTopicInformation(speech.getNlp().getTopics());   // Daten "verdichten"...
@@ -187,8 +193,16 @@ public class FrontEndController {
             speech.getNlp().setPosList((List) new ArrayList<Token>()); // Ensure it's never null
         }
 
-        // TODO: Token wird momentan etwas komisch abgespeichert, da im Attribut text die POS art steht, und in pos die Anzahl dieser POS arten. Umstrukturieren damit keine Verwirrung herrscht
+        // NLP: Sentiments
+        Sentiment speechSentiment = null;
+        if (speech.getNlp() != null && speech.getNlp().getSentiments() != null && !speech.getNlp().getSentiments().isEmpty()) {
+            speechSentiment = speech.getNlp().getSentiments().get(0); // Get the first sentiment
+        }
 
+        System.out.println("DEBUG: Speech Sentiment - " + speechSentiment);
+
+        // ✅ Pass sentiment data to FreeMarker
+        attributes.put("sentiment", speechSentiment);
 
         ctx.render("speech.ftl", attributes);
     }
diff --git a/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/RESTHandler.java b/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/RESTHandler.java
index a33dd16..3d6e066 100644
--- a/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/RESTHandler.java
+++ b/src/main/java/org/texttechnologylab/project/gruppe_05_1/rest/RESTHandler.java
@@ -62,7 +62,7 @@ public class RESTHandler {
 
         // Reden
         app.get("/reden/{id}", FrontEndController::listSpeeches);      // zeige Reden eines Parlamentariers an
-        app.get("/reden/{id}/{redeId}", SpeechController::showSpeech);      // zeige eine bestimmte Rede des Parlamentariers an
+        app.get("/reden/{id}/{redeId}", FrontEndController::showSpeech);      // zeige eine bestimmte Rede des Parlamentariers an
 
         app.get("/reden", SpeechController::listAllSpeeches);      // zeige alle Reden an (Filtern möglich)
     }