Update app.py

app.py

@@ -24,16 +24,6 @@ model_list = [
     "knowhate/HateBERTimbau-yt-tt",
 ]
 
-user_friendly_name = {
-    "knowhate/HateBERTimbau": "HateBERTimbau (Original)",
-    "knowhate/HateBERTimbau-youtube": "HateBERTimbau (YouTube)",
-    "knowhate/HateBERTimbau-twitter": "HateBERTimbau (Twitter)",
-    "knowhate/HateBERTimbau-yt-tt": "HateBERTimbau (YouTube + Twitter)",
-}
-
-reverse_user_friendly_name = { v:k for k,v in user_friendly_name.items() }
-user_friendly_name_list = list(user_friendly_name.values())
-
 #pipe = pipeline("text-classification", model="knowhate/HateBERTimbau")
 #demo = gr.Interface.from_pipeline(pipe)
 #demo.launch()
@@ -49,7 +39,7 @@ def predict(text, chosen_model):
 
 inputs = [
     gr.Textbox(label="Text", value= app_examples[0][0]),
-    gr.Dropdown(label="Model", choices=user_friendly_name_list, value=user_friendly_name_list[2])
+    gr.Dropdown(label="Model", choices=model_list, value=model_list[2])
 ]
 
 outputs = [