use v2 emotion9 models if available

interfaces/emotion9.py

@@ -22,7 +22,10 @@ domains = {
 
 def build_huggingface_path(language: str):
     language = language.lower()
-    return f"poltextlab/xlm-roberta-large-pooled-{language}-emotions9"
+    base_model_id = f"poltextlab/xlm-roberta-large-pooled-{language}-emotions9"
+    if language in ["slovak", "polish", "czech", "hungarian"]:
+        return base_model_id + "-v2"
+    return base_model_id
 
 def predict(text, model_id, tokenizer_id):
     device = torch.device("cpu")