adding multilingual, spanish an english base models

app.py

@@ -75,7 +75,7 @@ The next token is predicted per probability and a weight if it is appeared in ke
         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 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", "dccuchile/bert-base-spanish-wwm-cased", "xlm-roberta-base", "xlm-mlm-100-1280", "facebook/nllb-200-distilled-600M"])
+        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", "xlm-roberta-base", "dccuchile/bert-base-spanish-wwm-cased", "PlanTL-GOB-ES/roberta-base-bne", "bert-base-cased", "roberta-base"])
         
         data_load_state = st.text('1.Loading model ...')