changed get sorted cos sim

app.py

@@ -211,8 +211,8 @@ def get_sorted_cosine_similarity(embeddings_metadata):
         # TODO: Compute cosine similarity between input sentence and categories
         # TODO: Update category embeddings if category not found  
         ##########################################
-        cat = categories[index]
-        cat_embed = category_embeddings[cat]
+        #cat = categories[index]
+        cat_embed = category_embeddings[index]
         # Calc cosine sim
         cat_scores.append((index, np.dot(input_embedding,cat_embed)))
         # Store doc_id and score as a tuple
@@ -342,7 +342,7 @@ st.subheader(
 # key="categories"
 # )
 categories = st.text_input(
-    label="Categories", key="categories", value="Flowers Colors Cars Weather Food"
+    label="Categories", key="categories", value="Flowers Colors Cars Weather Food",
 )
 print(st.session_state["categories"])
 print(type(st.session_state["categories"]))