Update app.py

app.py

@@ -40,7 +40,7 @@ umap_3d = prepare_umap()
 
 
 secret_word =choose_secret_word()
-secret_embedding = model.encode(secret_word)
+secret_embedding = model.encode(secret_word.lower().strip())
 
 print("Secret word ", secret_word)
 
@@ -79,7 +79,7 @@ used_words = [w for w, s in st.session_state['words']]
 
 if st.button("Guess") or word:
     if word not in used_words:
-        word_embedding = model.encode(word)
+        word_embedding = model.encode(word.lower().strip())
         similarity = util.pytorch_cos_sim(
             secret_embedding,
             word_embedding