Add slovakian and czech language with the apropriate model

interfaces/sentiment.py

@@ -12,7 +12,7 @@ from label_dicts import MANIFESTO_LABEL_NAMES
 HF_TOKEN = os.environ["hf_read"]
 
 languages = [
- "English", "French", "German", "Hungarian", "Polish"
+ "Czech", "English", "French", "German", "Hungarian", "Polish", "Slovakian"
 ]
 domains = {
  "parliamentary speech": "parlspeech",
@@ -22,6 +22,8 @@ SENTIMENT_LABEL_NAMES = {0: "Negative", 1: "No sentiment or Neutral sentiment",
 
 
 def build_huggingface_path(language: str):
+ if language == "czech" or language == "slovakian":
+ return "visegradmedia-emotion/Emotion_RoBERTa_pooled_V4"
  return "poltextlab/xlm-roberta-large-pooled-MORES"
 
 def predict(text, model_id, tokenizer_id):