diff --git a/cnn_classification_service/cnn_classifier.py b/cnn_classification_service/cnn_classifier.py
index 09a66e4..47e9201 100644
--- a/cnn_classification_service/cnn_classifier.py
+++ b/cnn_classification_service/cnn_classifier.py
@@ -53,7 +53,7 @@ class Classifier(object):
 
         return target_dir, file_name  # Az unknown nélkülivel kell visszatérni
 
-    def _run_predictor(self, directory: str) -> list:
+    def _run_predictor(self, directory: str) -> Tuple[str, dict]:
         predict_generator = self.datagen.flow_from_directory(
             directory=directory,
             batch_size=128,
@@ -77,11 +77,13 @@ class Classifier(object):
         }
         labels = dict((v, k) for k, v in labels.items())
 
-        predictions = [labels[k] for k in predicted_class_indices]
+        labeled_predictions = {labels[i]: p for i, p in enumerate(prediction[0])}
 
-        return predictions
+        predicted_class_name = [labels[k] for k in predicted_class_indices][0]  # eh?
 
-    def predict(self, wav_filename: str) -> list:
+        return predicted_class_name, labeled_predictions
+
+    def predict(self, wav_filename: str) -> Tuple[str, dict]:
         directory, _ = self.create_spectrogram(wav_filename)
 
         result = self._run_predictor(directory)
diff --git a/cnn_classification_service/magic_doer.py b/cnn_classification_service/magic_doer.py
index 6a2337c..de61036 100644
--- a/cnn_classification_service/magic_doer.py
+++ b/cnn_classification_service/magic_doer.py
@@ -14,6 +14,7 @@ class MagicDoer:
     def run_everything(cls, parameters: dict) -> dict:
         tag = parameters['tag']
         sample_file_handle, sample_file_path = tempfile.mkstemp(prefix=f"{tag}_", suffix=".wav")
+        response = None
         try:
 
             # Download Sample
@@ -29,7 +30,15 @@ class MagicDoer:
             model_details, classifier = cls.classifier_cache.get_default_classifier()
 
             # do the majic
-            results = classifier.predict(sample_file_path)
+            predicted_class_name, labeled_predictions = classifier.predict(sample_file_path)
+
+            response = {
+                "tag": tag,
+                "probability": labeled_predictions[model_details['target_class_name']],
+                "all_predictions": labeled_predictions,
+                "class": predicted_class_name,
+                "model": model_details['id']
+            }
 
         finally:
             try:
@@ -37,13 +46,10 @@ class MagicDoer:
             except FileNotFoundError:
                 pass
 
-        response = {
-            "tag": tag,
-            "probability": 1.0 if results[0] == model_details['target_class_name'] else 0.0,
-            "model": model_details['id']
-        }
-
-        logging.info(f"Classification done!")
-        logging.debug(f"Results: {response}")
+        if not response:
+            logging.error("Something went wrong during classification!")
+        else:
+            logging.info(f"Classification done!")
+            logging.debug(f"Results: {response}")
 
         return response
diff --git a/cnn_classification_service/main.py b/cnn_classification_service/main.py
index 0789212..d351b0d 100644
--- a/cnn_classification_service/main.py
+++ b/cnn_classification_service/main.py
@@ -22,11 +22,12 @@ def message_callback(channel, method, properties, body):
     with start_transaction(op="cnn-classification-service", name="classify-soundfile"):
         results = MagicDoer.run_everything(msg)  # <- This is where the magic happens
 
-    channel.basic_publish(
-        exchange=os.environ['PIKA_OUTPUT_EXCHANGE'],
-        routing_key='classification-result',
-        body=json.dumps(results).encode("utf-8")
-    )
+    if results:
+        channel.basic_publish(
+            exchange=os.environ['PIKA_OUTPUT_EXCHANGE'],
+            routing_key='classification-result',
+            body=json.dumps(results).encode("utf-8")
+        )
 
 
 def main():