Update app.py

app.py

@@ -70,12 +70,12 @@ This is an example of an auto-complete approach where the next token suggested b
 The next token is predicted per probability and a weight if it is appeared in keyword user's history or there is a similarity to semantic user's history.
 **Forked from [mbahrami/Auto-Complete_Semantic](https://huggingface.co/spaces/mbahrami/Auto-Complete_Semantic).**
 """)
-        history_keyword_text = st.text_input("Enter users's history <Keywords Match> (optional, i.e., 'Paraguái')", value="")
+        history_keyword_text = st.text_input("Enter users's history <Keywords Match> (optional, i.e., 'Premio Cervantes')", value="")
         
-        semantic_text = st.text_input("Enter users's history <Semantic> (optional, i.e., 'Premio Cervantes')", value="Premio Cervantes")
+        semantic_text = st.text_input("Enter users's history <Semantic> (optional, i.e., 'hai')", value="hai")
         
-        text = st.text_input("Enter a text for auto completion...", value='Augusto Roa Bastos ha’e kuimba’e aranduoñemomba’eguasúva')
-        model = st.selectbox("Choose a model", ["mmaguero/gn-bert-tiny-cased", "mmaguero/gn-bert-small-cased", "mmaguero/gn-bert-base-cased", "mmaguero/gn-bert-large-cased", "mmaguero/multilingual-bert-gn-base-cased", "mmaguero/beto-gn-base-cased"])
+        text = st.text_input("Enter a text for auto completion...", value="Augusto Roa Bastos ha'e kuimba'e arandu")
+        model = st.selectbox("Choose a model", ["mmaguero/gn-bert-tiny-cased", "mmaguero/gn-bert-small-cased", "mmaguero/gn-bert-base-cased", "mmaguero/gn-bert-large-cased", "mmaguero/multilingual-bert-gn-base-cased", "mmaguero/beto-gn-base-cased", "bert-base-multilingual-cased", "https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased"])
         
         data_load_state = st.text('1.Loading model ...')