added smaller model for the sake of speed

app.py

@@ -20,7 +20,8 @@ md = pd.DataFrame(md)
 
 # Load the model
 print("running sentence embeddings...")
-model_name = 'all-mpnet-base-v2'
+# model_name = 'all-mpnet-base-v2'
+model_name = 'all-MiniLM-L6-v2'
 model = SentenceTransformer(model_name)
 sentence_embeddings = model.encode(md['body'].tolist(), show_progress_bar = True)
 sentence_embeddings = pd.DataFrame(sentence_embeddings)