feat: add examples

app.py

@@ -14,7 +14,11 @@ Enter a hashtag or pick one from the examples below. The app will suggest the be
 """
 
 app_examples = [
-    ["#helloworld"]
+    ["#cristianoronaldo", "cristian o ronaldo"],
+    ["#madridsinfiltros", ""],
+    ["#kuenstlicheintelligenz", "kuenstliche intelligenz"],
+    ["#dadscare", "dad scare, dads care"],
+    ["#nowthatcherisdead", "now that cher is dead, now thatcher is dead"],
 ]
 
 output_json_component_description = {"": ""}
@@ -119,8 +123,8 @@ def predict(s1, language, candidates, use_reranker, topk, steps):
 
 inputs = [
     gr.Textbox(label="Hashtag"),
-    gr.Dropdown(language_list, label="Language", value="english (fast)"),
     gr.Textbox(label="Candidate segmentations"),
+    gr.Dropdown(language_list, label="Language", value="english (fast)"),
     gr.Checkbox(label="Use reranker", value=True),
     gr.Slider(0, 100, value=20, label="Advanced setting - Beamsearch top-k"),
     gr.Slider(0, 100, value=13, label="Advanced setting - Beamsearch steps")