Add large model alternative link

app.py

@@ -85,7 +85,7 @@ model_names = [
                                  "sota_link":"https://paperswithcode.com/paper/sgpt-gpt-sentence-embeddings-for-semantic",
                             },
                 "paper_url":"https://arxiv.org/abs/2202.08904v5",
-                "Note":"If this large model fails to load , try this ",
+                "Note":"If this large model takes too long or fails to load , try this ",
                 "alt_url":"http://www.taskswithcode.com/sentence_similarity/",
                 "mark":True,
                 "class":"SGPTModel"},
@@ -94,7 +94,7 @@ model_names = [
                 "fork_url":"https://github.com/taskswithcode/sgpt",
                 "orig_author_url":"https://github.com/Muennighoff",
                 "orig_author":"Niklas Muennighoff",
-                "Note":"If this large model fails to load , try this ",
+                "Note":"If this large model takes too long or fails to load , try this ",
                 "alt_url":"http://www.taskswithcode.com/sentence_similarity/",
                 "sota_info": {   
                                  "task":"#1 in multiple information retrieval & search tasks",
@@ -201,8 +201,17 @@ def uncached_compute_similarity(sentences,_model,model_name,main_index):
     #st.success("Similarity computation complete")
     return results
 
+def get_model_info(model_name):
+    for node in model_names:
+        if (model_name == node["name"]):
+            return node
+
 def run_test(model_name,sentences,display_area,main_index,user_uploaded):
     display_area.text("Loading model:" + model_name)
+    model_info = get_model_info(model_name)
+    if ("Note" in model_info):
+        fail_link = f"{model_info['Note']} [link]({model_info['alt_url']})"
+        display_area.write(fail_link)
     model = load_model(model_name)
     display_area.text("Model " + model_name  + " load complete")
     try:

run.sh

@@ -0,0 +1,2 @@
+streamlit run app.py --server.port 80
+