Update app.py

app.py

@@ -52,8 +52,8 @@ def create_langchain_index(input_text):
     print("--indexing---")
     get_text(input_text)
     loader = TextLoader("text\\temp.txt", encoding='utf-8')
-    # data = loader.load()
-    embeddings = model.encode(loader)
+    data = loader.load()
+    embeddings = model.encode(data)
     index = VectorstoreIndexCreator(vectorstore_cls=DocArrayInMemorySearch,embedding=embeddings).from_loaders([loader])
     return index