domain dropdown

interfaces/sentiment.py

@@ -14,6 +14,10 @@ HF_TOKEN = os.environ["hf_read"]
 languages = [
     "Czech", "English", "French", "German", "Hungarian", "Italian"
 ]
+domains = {
+    "parliamentary speech": "parlspeech",
+}
+
 
 def build_huggingface_path(language: str):
     return "poltextlab/xlm-roberta-large-pooled-sentiment"
@@ -47,5 +51,6 @@ def predict_cap(text, language):
 demo = gr.Interface(
     fn=predict_cap,
     inputs=[gr.Textbox(lines=6, label="Input"),
-            gr.Dropdown(languages, label="Language")],
+            gr.Dropdown(languages, label="Language"),
+            gr.Dropdown(domains.keys(), label="Domain", value=domains.keys()[0])],
     outputs=[gr.Label(num_top_classes=3, label="Output"), gr.Markdown()])