added predictors

ArtistCoherencyModel.py

@@ -54,7 +54,7 @@ class ArtistCoherencyModel(nn.Module, PyTorchModelHubMixin):
             return self.coherency_model(**inputs).logits
 
     def predict_coherency(self, song: str) -> tuple[str, float]:
-        logits = self.generate_artist_logits(song)[0]
+        logits = self.generate_coherency_logits(song)[0]
         predicted_class_id = logits.argmax().item()
         return self.coherency_model.config.id2label[predicted_class_id], float(
             logits[predicted_class_id]