Minor additions

app.py

@@ -63,6 +63,18 @@ model_names = [
                 "paper_url":"https://arxiv.org/abs/1908.10084",
                 "mark":True,
                 "class":"HFModel"},
+            {   "name":"sentence-transformers/all-MiniLM-L12-v2",
+                "model":"sentence-transformers/all-MiniLM-L12-v2",
+                "fork_url":"https://github.com/taskswithcode/sentence_similarity_hf_model",
+                "orig_author_url":"https://github.com/UKPLab",
+                "orig_author":"Ubiquitous Knowledge Processing Lab",
+                "sota_info": {   
+                                 "task":"Over 500,000 downloads from huggingface",
+                                 "sota_link":"https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2"
+                            },
+                "paper_url":"https://arxiv.org/abs/1908.10084",
+                "mark":True,
+                "class":"HFModel"},
 
             {   "name":"SGPT-125M", 
                 "model":"Muennighoff/SGPT-125M-weightedmean-nli-bitfit",
@@ -148,7 +160,7 @@ example_file_names = {
 
 def construct_model_info_for_display():
     options_arr  = []
-    markdown_str = "<div style=\"font-size:16px; color: #2f2f2f; text-align: left\"><br/><b>Models evaluated</b></div>"
+    markdown_str = f"<div style=\"font-size:16px; color: #2f2f2f; text-align: left\"><br/><b>Models evaluated ({len(model_names)})</b></div>"
     for node in model_names:
         options_arr .append(node["name"])
         if (node["mark"] == True):
@@ -272,7 +284,8 @@ def main():
                     options = list(dict.keys(example_file_names)), index=0,  key = "twc_file")
         st.write("")
         options_arr,markdown_str = construct_model_info_for_display()
-        selected_model = st.selectbox(label='Step 2. Select Model',  
+        selection_label = 'Step 2. Select Model'
+        selected_model = st.selectbox(label=selection_label,  
                     options = options_arr, index=0,  key = "twc_model")
         st.write("")
         main_index = st.number_input('Step 3. Enter index of sentence in file to make it the main sentence:',value=1,min_value = 1)