Update app.py

app.py

@@ -66,21 +66,34 @@ if __name__ == '__main__':
     if st._is_running_with_streamlit:
         st.markdown("""
 # Auto-Complete
-This is an example of an auto-complete approach where the next token suggested based on users's history Keyword match & Semantic similarity of users's history (log).
-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.
+This is an example of an auto-complete approach where the next token suggested based on users's history 
+Keyword match & Semantic similarity of users's history (log).
+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.
 
 ## Source
 Forked from **[mbahrami/Auto-Complete_Semantic](https://huggingface.co/spaces/mbahrami/Auto-Complete_Semantic)** with *[osanseviero/fork_a_repo](https://huggingface.co/spaces/osanseviero/fork_a_repo)*.
 
 ## Disclaimer
-The behind idea is to compare our models that included Guarani during pre-training vs. the models that do not have saw it. That is, the multilingual ones: XLM-RoBERTa, mBERT and Spanish BERTs (BETO and PLAN-TL-RoBERTa). Additionally, we include English models: BERT and RoBERTa, for comparison reasons.
+The behind idea is to compare our models that included Guarani during pre-training vs. the models that do not 
+have saw it. That is, the multilingual ones: XLM-RoBERTa, mBERT and Spanish BERTs (BETO and PLAN-TL-RoBERTa). 
+Additionally, we include facebook/xlm-v-base model (it includes Guarani during pre-training), 
+for comparison reasons.
 """)
         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., '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", "xlm-roberta-base", "facebook/xlm-v-base", "dccuchile/bert-base-spanish-wwm-cased", "PlanTL-GOB-ES/roberta-base-bne", "bert-base-cased", "roberta-base"])
+        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",
+                              "facebook/xlm-v-base",
+                              
+                              "bert-base-multilingual-cased", "xlm-roberta-base",
+                              
+                              "dccuchile/bert-base-spanish-wwm-cased", "PlanTL-GOB-ES/roberta-base-bne"])
         
         data_load_state = st.text('1.Loading model ...')