Update app.py

app.py

@@ -119,7 +119,7 @@ class Chatbot():
         embeddings = np.vstack(df.text.apply(lambda x: get_embedding(x, engine=embedding_model)))
         return embeddings    
 
-    def search_embeddings(self, df, query, n=3, embeddings, pprint=True):
+    def search_embeddings(self, embeddings, df, query, n=3, pprint=True):
         
         # Step 1. Get an embedding for the question being asked to the PDF
         query_embedding = get_embedding(