modified existing code

app.py

@@ -193,13 +193,13 @@ def get_sorted_cosine_similarity(embeddings_metadata):
 
     else:
         model_name = embeddings_metadata["model_name"]
-        if not "cat_embed_" + model_name in st.session_state:
-            get_category_embeddings(embeddings_metadata)
+        #if not "cat_embed_" + model_name in st.session_state:
+        get_category_embeddings(embeddings_metadata)
 
         category_embeddings = st.session_state["cat_embed_" + model_name]
 
         print("text_search = ", st.session_state.text_search)
-        print(category_embeddings)
+        print('here_cat_embeddings', category_embeddings)
         if model_name:
             input_embedding = get_sentence_transformer_embeddings(st.session_state.text_search, model_name=model_name)
         else: