Update app.py

app.py

@@ -154,7 +154,7 @@ class Chatbot():
         return results.head(n)
     
     def create_prompt(self, embeddings, df, user_input):
-        result = self.search_embeddings(df, embeddings, user_input, n=3)
+        result = self.search_embeddings(embeddings, df, user_input, n=3)
         print(result)
         prompt = """You are a large language model whose expertise is reading and and providing answers about research papers. 
         You are given a query and a series of text embeddings from a paper in order of their cosine similarity to the query.